Package org.itk.simple
Class SimpleITK
java.lang.Object
org.itk.simple.SimpleITK
- All Implemented Interfaces:
SimpleITKConstants
-
Field Summary
Fields inherited from interface org.itk.simple.SimpleITKConstants
SITK_ITK_VERSION_MAJOR, SITK_ITK_VERSION_MINOR, SITK_ITK_VERSION_PATCH, SITK_MAX_DIMENSION
-
Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionstatic Image
static Image
absoluteValueDifference
(double constant, Image image2) Image itk::simple::AbsoluteValueDifference(Image &&image1, double constant)static Image
absoluteValueDifference
(Image image1, double constant) Image itk::simple::AbsoluteValueDifference(Image &&image1, double constant)static Image
absoluteValueDifference
(Image image1, Image image2) Image itk::simple::AbsoluteValueDifference(Image &&image1, double constant)static Image
static Image
adaptiveHistogramEqualization
(Image image1) static Image
adaptiveHistogramEqualization
(Image image1, VectorUInt32 radius) static Image
adaptiveHistogramEqualization
(Image image1, VectorUInt32 radius, float alpha) static Image
adaptiveHistogramEqualization
(Image image1, VectorUInt32 radius, float alpha, float beta) static Image
Image itk::simple::Add(Image &&image1, double constant)static Image
Image itk::simple::Add(Image &&image1, double constant)static Image
Image itk::simple::Add(Image &&image1, double constant)static Image
additiveGaussianNoise
(Image image1) static Image
additiveGaussianNoise
(Image image1, double standardDeviation) static Image
additiveGaussianNoise
(Image image1, double standardDeviation, double mean) static Image
additiveGaussianNoise
(Image image1, double standardDeviation, double mean, long seed) static Image
aggregateLabelMap
(Image image1) static Image
Image itk::simple::And(int constant, const Image &image2)static Image
Image itk::simple::And(int constant, const Image &image2)static Image
Image itk::simple::And(int constant, const Image &image2)static Image
antiAliasBinary
(Image image1) static Image
antiAliasBinary
(Image image1, double maximumRMSError) static Image
antiAliasBinary
(Image image1, double maximumRMSError, long numberOfIterations) static Image
approximateSignedDistanceMap
(Image image1) static Image
approximateSignedDistanceMap
(Image image1, double insideValue) static Image
approximateSignedDistanceMap
(Image image1, double insideValue, double outsideValue) static Image
areaClosing
(Image image1) static Image
areaClosing
(Image image1, double lambda) static Image
areaClosing
(Image image1, double lambda, boolean useImageSpacing) static Image
areaClosing
(Image image1, double lambda, boolean useImageSpacing, boolean fullyConnected) static Image
areaOpening
(Image image1) static Image
areaOpening
(Image image1, double lambda) static Image
areaOpening
(Image image1, double lambda, boolean useImageSpacing) static Image
areaOpening
(Image image1, double lambda, boolean useImageSpacing, boolean fullyConnected) static Image
static Image
static Image
Image itk::simple::Atan2(Image &&image1, double constant)static Image
Image itk::simple::Atan2(Image &&image1, double constant)static Image
Image itk::simple::Atan2(Image &&image1, double constant)static Image
static Image
static Image
static Image
static Image
binaryClosingByReconstruction
(Image image1) static Image
binaryClosingByReconstruction
(Image image1, VectorUInt32 kernelRadius) static Image
binaryClosingByReconstruction
(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) static Image
binaryClosingByReconstruction
(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double foregroundValue) static Image
binaryClosingByReconstruction
(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double foregroundValue, boolean fullyConnected) static Image
binaryContour
(Image image1) static Image
binaryContour
(Image image1, boolean fullyConnected) static Image
binaryContour
(Image image1, boolean fullyConnected, double backgroundValue) static Image
binaryContour
(Image image1, boolean fullyConnected, double backgroundValue, double foregroundValue) static Image
binaryDilate
(Image image1) static Image
binaryDilate
(Image image1, VectorUInt32 kernelRadius) static Image
binaryDilate
(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) static Image
binaryDilate
(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double backgroundValue) static Image
binaryDilate
(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double backgroundValue, double foregroundValue) static Image
binaryDilate
(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double backgroundValue, double foregroundValue, boolean boundaryToForeground) static Image
binaryErode
(Image image1) static Image
binaryErode
(Image image1, VectorUInt32 kernelRadius) static Image
binaryErode
(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) static Image
binaryErode
(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double backgroundValue) static Image
binaryErode
(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double backgroundValue, double foregroundValue) static Image
binaryErode
(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double backgroundValue, double foregroundValue, boolean boundaryToForeground) static Image
binaryFillhole
(Image image1) static Image
binaryFillhole
(Image image1, boolean fullyConnected) static Image
binaryFillhole
(Image image1, boolean fullyConnected, double foregroundValue) static Image
binaryGrindPeak
(Image image1) static Image
binaryGrindPeak
(Image image1, boolean fullyConnected) static Image
binaryGrindPeak
(Image image1, boolean fullyConnected, double foregroundValue) static Image
binaryGrindPeak
(Image image1, boolean fullyConnected, double foregroundValue, double backgroundValue) static Image
binaryImageToLabelMap
(Image image1) static Image
binaryImageToLabelMap
(Image image1, boolean fullyConnected) static Image
binaryImageToLabelMap
(Image image1, boolean fullyConnected, double inputForegroundValue) static Image
binaryImageToLabelMap
(Image image1, boolean fullyConnected, double inputForegroundValue, double outputBackgroundValue) static Image
binaryMagnitude
(Image image1, Image image2) static Image
binaryMedian
(Image image1) static Image
binaryMedian
(Image image1, VectorUInt32 radius) static Image
binaryMedian
(Image image1, VectorUInt32 radius, double foregroundValue) static Image
binaryMedian
(Image image1, VectorUInt32 radius, double foregroundValue, double backgroundValue) static Image
binaryMinMaxCurvatureFlow
(Image image1) static Image
binaryMinMaxCurvatureFlow
(Image image1, double timeStep) static Image
binaryMinMaxCurvatureFlow
(Image image1, double timeStep, long numberOfIterations) static Image
binaryMinMaxCurvatureFlow
(Image image1, double timeStep, long numberOfIterations, int stencilRadius) static Image
binaryMinMaxCurvatureFlow
(Image image1, double timeStep, long numberOfIterations, int stencilRadius, double threshold) static Image
binaryMorphologicalClosing
(Image image1) static Image
binaryMorphologicalClosing
(Image image1, VectorUInt32 kernelRadius) static Image
binaryMorphologicalClosing
(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) static Image
binaryMorphologicalClosing
(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double foregroundValue) static Image
binaryMorphologicalClosing
(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double foregroundValue, boolean safeBorder) static Image
binaryMorphologicalOpening
(Image image1) static Image
binaryMorphologicalOpening
(Image image1, VectorUInt32 kernelRadius) static Image
binaryMorphologicalOpening
(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) static Image
binaryMorphologicalOpening
(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double backgroundValue) static Image
binaryMorphologicalOpening
(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double backgroundValue, double foregroundValue) static Image
static Image
static Image
static Image
binaryOpeningByReconstruction
(Image image1) static Image
binaryOpeningByReconstruction
(Image image1, VectorUInt32 kernelRadius) static Image
binaryOpeningByReconstruction
(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) static Image
binaryOpeningByReconstruction
(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double foregroundValue) static Image
binaryOpeningByReconstruction
(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double foregroundValue, double backgroundValue) static Image
binaryOpeningByReconstruction
(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double foregroundValue, double backgroundValue, boolean fullyConnected) static Image
binaryProjection
(Image image1) static Image
binaryProjection
(Image image1, long projectionDimension) static Image
binaryProjection
(Image image1, long projectionDimension, double foregroundValue) static Image
binaryProjection
(Image image1, long projectionDimension, double foregroundValue, double backgroundValue) static Image
binaryPruning
(Image image1) static Image
binaryPruning
(Image image1, long iteration) static Image
binaryReconstructionByDilation
(Image markerImage, Image maskImage) static Image
binaryReconstructionByDilation
(Image markerImage, Image maskImage, double backgroundValue) static Image
binaryReconstructionByDilation
(Image markerImage, Image maskImage, double backgroundValue, double foregroundValue) static Image
binaryReconstructionByDilation
(Image markerImage, Image maskImage, double backgroundValue, double foregroundValue, boolean fullyConnected) static Image
binaryReconstructionByErosion
(Image markerImage, Image maskImage) static Image
binaryReconstructionByErosion
(Image markerImage, Image maskImage, double backgroundValue) static Image
binaryReconstructionByErosion
(Image markerImage, Image maskImage, double backgroundValue, double foregroundValue) static Image
binaryReconstructionByErosion
(Image markerImage, Image maskImage, double backgroundValue, double foregroundValue, boolean fullyConnected) static Image
binaryThinning
(Image image1) static Image
binaryThreshold
(Image image1) static Image
binaryThreshold
(Image image1, double lowerThreshold) static Image
binaryThreshold
(Image image1, double lowerThreshold, double upperThreshold) static Image
binaryThreshold
(Image image1, double lowerThreshold, double upperThreshold, short insideValue) static Image
binaryThreshold
(Image image1, double lowerThreshold, double upperThreshold, short insideValue, short outsideValue) static Image
binaryThresholdProjection
(Image image1) static Image
binaryThresholdProjection
(Image image1, long projectionDimension) static Image
binaryThresholdProjection
(Image image1, long projectionDimension, double thresholdValue) static Image
binaryThresholdProjection
(Image image1, long projectionDimension, double thresholdValue, short foregroundValue) static Image
binaryThresholdProjection
(Image image1, long projectionDimension, double thresholdValue, short foregroundValue, short backgroundValue) static Image
binomialBlur
(Image image1) static Image
binomialBlur
(Image image1, long repetitions) static Image
static Image
binShrink
(Image image1, VectorUInt32 shrinkFactors) static Image
bitwiseNot
(Image image1) static Image
blackTopHat
(Image image1) static Image
blackTopHat
(Image image1, VectorUInt32 kernelRadius) static Image
blackTopHat
(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) static Image
blackTopHat
(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, boolean safeBorder) static Image
boundedReciprocal
(Image image1) static Image
static Image
boxMean
(Image image1, VectorUInt32 radius) static Image
static Image
boxSigma
(Image image1, VectorUInt32 radius) static Image
bSplineDecomposition
(Image image1) static Image
bSplineDecomposition
(Image image1, long splineOrder) static BSplineTransform
bSplineTransformInitializer
(Image image1) BSplineTransform itk::simple::BSplineTransformInitializer(const Image &image1, const std::vector< uint32_t > &transformDomainMeshSize=std::vector< uint32_t >(3, 1u), unsigned int order=3u) BSplineTransformInitializerFilter is a helper class intended to initialize the control point grid such that it has a physically consistent definition.static BSplineTransform
bSplineTransformInitializer
(Image image1, VectorUInt32 transformDomainMeshSize) BSplineTransform itk::simple::BSplineTransformInitializer(const Image &image1, const std::vector< uint32_t > &transformDomainMeshSize=std::vector< uint32_t >(3, 1u), unsigned int order=3u) BSplineTransformInitializerFilter is a helper class intended to initialize the control point grid such that it has a physically consistent definition.static BSplineTransform
bSplineTransformInitializer
(Image image1, VectorUInt32 transformDomainMeshSize, long order) BSplineTransform itk::simple::BSplineTransformInitializer(const Image &image1, const std::vector< uint32_t > &transformDomainMeshSize=std::vector< uint32_t >(3, 1u), unsigned int order=3u) BSplineTransformInitializerFilter is a helper class intended to initialize the control point grid such that it has a physically consistent definition.static Image
cannyEdgeDetection
(Image image1) static Image
cannyEdgeDetection
(Image image1, double lowerThreshold) static Image
cannyEdgeDetection
(Image image1, double lowerThreshold, double upperThreshold) static Image
cannyEdgeDetection
(Image image1, double lowerThreshold, double upperThreshold, VectorDouble variance) static Image
cannyEdgeDetection
(Image image1, double lowerThreshold, double upperThreshold, VectorDouble variance, VectorDouble maximumError) static Image
cannySegmentationLevelSet
(Image initialImage, Image featureImage) static Image
cannySegmentationLevelSet
(Image initialImage, Image featureImage, double threshold) static Image
cannySegmentationLevelSet
(Image initialImage, Image featureImage, double threshold, double variance) static Image
cannySegmentationLevelSet
(Image initialImage, Image featureImage, double threshold, double variance, double maximumRMSError) static Image
cannySegmentationLevelSet
(Image initialImage, Image featureImage, double threshold, double variance, double maximumRMSError, double propagationScaling) static Image
cannySegmentationLevelSet
(Image initialImage, Image featureImage, double threshold, double variance, double maximumRMSError, double propagationScaling, double curvatureScaling) static Image
cannySegmentationLevelSet
(Image initialImage, Image featureImage, double threshold, double variance, double maximumRMSError, double propagationScaling, double curvatureScaling, double advectionScaling) static Image
cannySegmentationLevelSet
(Image initialImage, Image featureImage, double threshold, double variance, double maximumRMSError, double propagationScaling, double curvatureScaling, double advectionScaling, long numberOfIterations) static Image
cannySegmentationLevelSet
(Image initialImage, Image featureImage, double threshold, double variance, double maximumRMSError, double propagationScaling, double curvatureScaling, double advectionScaling, long numberOfIterations, boolean reverseExpansionDirection) static Image
cannySegmentationLevelSet
(Image initialImage, Image featureImage, double threshold, double variance, double maximumRMSError, double propagationScaling, double curvatureScaling, double advectionScaling, long numberOfIterations, boolean reverseExpansionDirection, double isoSurfaceValue) static Image
cast
(Image image, PixelIDValueEnum pixelID) Image itk::simple::Cast(const Image &image, PixelIDValueEnum pixelID)static Transform
centeredTransformInitializer
(Image fixedImage, Image movingImage, Transform transform) Transform itk::simple::CenteredTransformInitializer(const Image &fixedImage, const Image &movingImage, const Transform &transform, CenteredTransformInitializerFilter::OperationModeType operationMode=it k::simple::CenteredTransformInitializerFilter::MOMENTS) CenteredTransformInitializer is a helper class intended to initialize the center of rotation and the translation of Transforms having the center of rotation among their parameters.static Transform
centeredTransformInitializer
(Image fixedImage, Image movingImage, Transform transform, CenteredTransformInitializerFilter.OperationModeType operationMode) Transform itk::simple::CenteredTransformInitializer(const Image &fixedImage, const Image &movingImage, const Transform &transform, CenteredTransformInitializerFilter::OperationModeType operationMode=it k::simple::CenteredTransformInitializerFilter::MOMENTS) CenteredTransformInitializer is a helper class intended to initialize the center of rotation and the translation of Transforms having the center of rotation among their parameters.static Transform
centeredVersorTransformInitializer
(Image fixedImage, Image movingImage, Transform transform) Transform itk::simple::CenteredVersorTransformInitializer(const Image &fixedImage, const Image &movingImage, const Transform &transform, bool computeRotation=false) CenteredVersorTransformInitializer is a helper class intended to initialize the center of rotation, versor, and translation of the VersorRigid3DTransform.static Transform
centeredVersorTransformInitializer
(Image fixedImage, Image movingImage, Transform transform, boolean computeRotation) Transform itk::simple::CenteredVersorTransformInitializer(const Image &fixedImage, const Image &movingImage, const Transform &transform, bool computeRotation=false) CenteredVersorTransformInitializer is a helper class intended to initialize the center of rotation, versor, and translation of the VersorRigid3DTransform.static Image
changeLabel
(Image image1) static Image
changeLabel
(Image image1, DoubleDoubleMap changeMap) static Image
changeLabelLabelMap
(Image image1) static Image
changeLabelLabelMap
(Image image1, DoubleDoubleMap changeMap) static Image
checkerBoard
(Image image1, Image image2) static Image
checkerBoard
(Image image1, Image image2, VectorUInt32 checkerPattern) static Image
static Image
clamp
(Image image1, PixelIDValueEnum outputPixelType) static Image
clamp
(Image image1, PixelIDValueEnum outputPixelType, double lowerBound) static Image
clamp
(Image image1, PixelIDValueEnum outputPixelType, double lowerBound, double upperBound) static Image
closingByReconstruction
(Image image1) static Image
closingByReconstruction
(Image image1, VectorUInt32 kernelRadius) static Image
closingByReconstruction
(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) static Image
closingByReconstruction
(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, boolean fullyConnected) static Image
closingByReconstruction
(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, boolean fullyConnected, boolean preserveIntensities) static Image
collidingFronts
(Image image1) static Image
collidingFronts
(Image image1, VectorUIntList seedPoints1) static Image
collidingFronts
(Image image1, VectorUIntList seedPoints1, VectorUIntList seedPoints2) static Image
collidingFronts
(Image image1, VectorUIntList seedPoints1, VectorUIntList seedPoints2, boolean applyConnectivity) static Image
collidingFronts
(Image image1, VectorUIntList seedPoints1, VectorUIntList seedPoints2, boolean applyConnectivity, double negativeEpsilon) static Image
collidingFronts
(Image image1, VectorUIntList seedPoints1, VectorUIntList seedPoints2, boolean applyConnectivity, double negativeEpsilon, boolean stopOnTargets) static Image
complexToImaginary
(Image image1) static Image
complexToModulus
(Image image1) static Image
complexToPhase
(Image image1) static Image
complexToReal
(Image image1) static Image
static Image
static Image
static Image
static Image
static Image
compose
(VectorOfImage images) static Image
confidenceConnected
(Image image1) static Image
confidenceConnected
(Image image1, VectorUIntList seedList) static Image
confidenceConnected
(Image image1, VectorUIntList seedList, long numberOfIterations) static Image
confidenceConnected
(Image image1, VectorUIntList seedList, long numberOfIterations, double multiplier) static Image
confidenceConnected
(Image image1, VectorUIntList seedList, long numberOfIterations, double multiplier, long initialNeighborhoodRadius) static Image
confidenceConnected
(Image image1, VectorUIntList seedList, long numberOfIterations, double multiplier, long initialNeighborhoodRadius, short replaceValue) static Image
connectedComponent
(Image image) static Image
connectedComponent
(Image image, boolean fullyConnected) static Image
connectedComponent
(Image image, Image maskImage) static Image
connectedComponent
(Image image, Image maskImage, boolean fullyConnected) static Image
connectedThreshold
(Image image1) static Image
connectedThreshold
(Image image1, VectorUIntList seedList) static Image
connectedThreshold
(Image image1, VectorUIntList seedList, double lower) static Image
connectedThreshold
(Image image1, VectorUIntList seedList, double lower, double upper) static Image
connectedThreshold
(Image image1, VectorUIntList seedList, double lower, double upper, short replaceValue) static Image
connectedThreshold
(Image image1, VectorUIntList seedList, double lower, double upper, short replaceValue, ConnectedThresholdImageFilter.ConnectivityType connectivity) static Image
constantPad
(Image image1) static Image
constantPad
(Image image1, VectorUInt32 padLowerBound) static Image
constantPad
(Image image1, VectorUInt32 padLowerBound, VectorUInt32 padUpperBound) static Image
constantPad
(Image image1, VectorUInt32 padLowerBound, VectorUInt32 padUpperBound, double constant) static Image
convolution
(Image image, Image kernelImage) static Image
convolution
(Image image, Image kernelImage, boolean normalize) static Image
convolution
(Image image, Image kernelImage, boolean normalize, ConvolutionImageFilter.BoundaryConditionType boundaryCondition) static Image
convolution
(Image image, Image kernelImage, boolean normalize, ConvolutionImageFilter.BoundaryConditionType boundaryCondition, ConvolutionImageFilter.OutputRegionModeType outputRegionMode) static Image
static Image
static Image
crop
(Image image1, VectorUInt32 lowerBoundaryCropSize) static Image
crop
(Image image1, VectorUInt32 lowerBoundaryCropSize, VectorUInt32 upperBoundaryCropSize) static Image
curvatureAnisotropicDiffusion
(Image image1) static Image
curvatureAnisotropicDiffusion
(Image image1, double timeStep) static Image
curvatureAnisotropicDiffusion
(Image image1, double timeStep, double conductanceParameter) static Image
curvatureAnisotropicDiffusion
(Image image1, double timeStep, double conductanceParameter, long conductanceScalingUpdateInterval) static Image
curvatureAnisotropicDiffusion
(Image image1, double timeStep, double conductanceParameter, long conductanceScalingUpdateInterval, long numberOfIterations) static Image
curvatureFlow
(Image image1) static Image
curvatureFlow
(Image image1, double timeStep) static Image
curvatureFlow
(Image image1, double timeStep, long numberOfIterations) static Image
cyclicShift
(Image image1) static Image
cyclicShift
(Image image1, VectorInt32 shift) static Image
danielssonDistanceMap
(Image image1) static Image
danielssonDistanceMap
(Image image1, boolean inputIsBinary) static Image
danielssonDistanceMap
(Image image1, boolean inputIsBinary, boolean squaredDistance) static Image
danielssonDistanceMap
(Image image1, boolean inputIsBinary, boolean squaredDistance, boolean useImageSpacing) static Image
derivative
(Image image1) static Image
derivative
(Image image1, long direction) static Image
derivative
(Image image1, long direction, long order) static Image
derivative
(Image image1, long direction, long order, boolean useImageSpacing) static Image
dICOMOrient
(Image image1) static Image
dICOMOrient
(Image image1, String desiredCoordinateOrientation) static Image
dilateObjectMorphology
(Image image1) static Image
dilateObjectMorphology
(Image image1, VectorUInt32 kernelRadius) static Image
dilateObjectMorphology
(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) static Image
dilateObjectMorphology
(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double objectValue) static Image
discreteGaussian
(Image image1) Image itk::simple::DiscreteGaussian(const Image &image1, double variance, unsigned int maximumKernelWidth=32u, double maximumError=0.01, bool useImageSpacing=true) Blurs an image by separable convolution with discrete gaussian kernels.static Image
discreteGaussian
(Image image1, double variance) Image itk::simple::DiscreteGaussian(const Image &image1, double variance, unsigned int maximumKernelWidth=32u, double maximumError=0.01, bool useImageSpacing=true) Blurs an image by separable convolution with discrete gaussian kernels.static Image
discreteGaussian
(Image image1, double variance, long maximumKernelWidth) Image itk::simple::DiscreteGaussian(const Image &image1, double variance, unsigned int maximumKernelWidth=32u, double maximumError=0.01, bool useImageSpacing=true) Blurs an image by separable convolution with discrete gaussian kernels.static Image
discreteGaussian
(Image image1, double variance, long maximumKernelWidth, double maximumError) Image itk::simple::DiscreteGaussian(const Image &image1, double variance, unsigned int maximumKernelWidth=32u, double maximumError=0.01, bool useImageSpacing=true) Blurs an image by separable convolution with discrete gaussian kernels.static Image
discreteGaussian
(Image image1, double variance, long maximumKernelWidth, double maximumError, boolean useImageSpacing) Image itk::simple::DiscreteGaussian(const Image &image1, double variance, unsigned int maximumKernelWidth=32u, double maximumError=0.01, bool useImageSpacing=true) Blurs an image by separable convolution with discrete gaussian kernels.static Image
discreteGaussian
(Image image1, VectorDouble variance) Image itk::simple::DiscreteGaussian(const Image &image1, double variance, unsigned int maximumKernelWidth=32u, double maximumError=0.01, bool useImageSpacing=true) Blurs an image by separable convolution with discrete gaussian kernels.static Image
discreteGaussian
(Image image1, VectorDouble variance, long maximumKernelWidth) Image itk::simple::DiscreteGaussian(const Image &image1, double variance, unsigned int maximumKernelWidth=32u, double maximumError=0.01, bool useImageSpacing=true) Blurs an image by separable convolution with discrete gaussian kernels.static Image
discreteGaussian
(Image image1, VectorDouble variance, long maximumKernelWidth, VectorDouble maximumError) Image itk::simple::DiscreteGaussian(const Image &image1, double variance, unsigned int maximumKernelWidth=32u, double maximumError=0.01, bool useImageSpacing=true) Blurs an image by separable convolution with discrete gaussian kernels.static Image
discreteGaussian
(Image image1, VectorDouble variance, long maximumKernelWidth, VectorDouble maximumError, boolean useImageSpacing) Image itk::simple::DiscreteGaussian(const Image &image1, double variance, unsigned int maximumKernelWidth=32u, double maximumError=0.01, bool useImageSpacing=true) Blurs an image by separable convolution with discrete gaussian kernels.static Image
discreteGaussianDerivative
(Image image1) static Image
discreteGaussianDerivative
(Image image1, VectorDouble variance) static Image
discreteGaussianDerivative
(Image image1, VectorDouble variance, VectorUInt32 order) static Image
discreteGaussianDerivative
(Image image1, VectorDouble variance, VectorUInt32 order, long maximumKernelWidth) static Image
discreteGaussianDerivative
(Image image1, VectorDouble variance, VectorUInt32 order, long maximumKernelWidth, double maximumError) static Image
discreteGaussianDerivative
(Image image1, VectorDouble variance, VectorUInt32 order, long maximumKernelWidth, double maximumError, boolean useImageSpacing) static Image
discreteGaussianDerivative
(Image image1, VectorDouble variance, VectorUInt32 order, long maximumKernelWidth, double maximumError, boolean useImageSpacing, boolean normalizeAcrossScale) static Image
static Image
displacementFieldJacobianDeterminant
(Image image1, boolean useImageSpacing) static Image
displacementFieldJacobianDeterminant
(Image image1, boolean useImageSpacing, VectorDouble derivativeWeights) static Image
Image itk::simple::Divide(Image &&image1, double constant)static Image
Image itk::simple::Divide(Image &&image1, double constant)static Image
Image itk::simple::Divide(Image &&image1, double constant)static Image
divideFloor
(double constant, Image image2) Image itk::simple::DivideFloor(Image &&image1, double constant)static Image
divideFloor
(Image image1, double constant) Image itk::simple::DivideFloor(Image &&image1, double constant)static Image
divideFloor
(Image image1, Image image2) Image itk::simple::DivideFloor(Image &&image1, double constant)static Image
divideReal
(double constant, Image image2) Image itk::simple::DivideReal(Image &&image1, double constant)static Image
divideReal
(Image image1, double constant) Image itk::simple::DivideReal(Image &&image1, double constant)static Image
divideReal
(Image image1, Image image2) Image itk::simple::DivideReal(Image &&image1, double constant)static Image
doubleThreshold
(Image image1) static Image
doubleThreshold
(Image image1, double threshold1) static Image
doubleThreshold
(Image image1, double threshold1, double threshold2) static Image
doubleThreshold
(Image image1, double threshold1, double threshold2, double threshold3) static Image
doubleThreshold
(Image image1, double threshold1, double threshold2, double threshold3, double threshold4) static Image
doubleThreshold
(Image image1, double threshold1, double threshold2, double threshold3, double threshold4, short insideValue) static Image
doubleThreshold
(Image image1, double threshold1, double threshold2, double threshold3, double threshold4, short insideValue, short outsideValue) static Image
doubleThreshold
(Image image1, double threshold1, double threshold2, double threshold3, double threshold4, short insideValue, short outsideValue, boolean fullyConnected) static Image
edgePotential
(Image image1) static Image
Image itk::simple::Equal(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
Image itk::simple::Equal(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
Image itk::simple::Equal(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
Image itk::simple::Equal(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
Image itk::simple::Equal(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
Image itk::simple::Equal(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
Image itk::simple::Equal(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
Image itk::simple::Equal(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
Image itk::simple::Equal(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
erodeObjectMorphology
(Image image1) static Image
erodeObjectMorphology
(Image image1, VectorUInt32 kernelRadius) static Image
erodeObjectMorphology
(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) static Image
erodeObjectMorphology
(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double objectValue) static Image
erodeObjectMorphology
(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double objectValue, double backgroundValue) static Image
static Image
static Image
expand
(Image image1, VectorUInt32 expandFactors) static Image
expand
(Image image1, VectorUInt32 expandFactors, InterpolatorEnum interpolator) static Image
expNegative
(Image image1) static Image
static Image
extract
(Image image1, VectorUInt32 size) static Image
extract
(Image image1, VectorUInt32 size, VectorInt32 index) static Image
extract
(Image image1, VectorUInt32 size, VectorInt32 index, ExtractImageFilter.DirectionCollapseToStrategyType directionCollapseToStrategy) static Image
fastApproximateRank
(Image image1) static Image
fastApproximateRank
(Image image1, double rank) static Image
fastApproximateRank
(Image image1, double rank, VectorUInt32 radius) static Image
fastMarching
(Image image1) static Image
fastMarching
(Image image1, VectorUIntList trialPoints) static Image
fastMarching
(Image image1, VectorUIntList trialPoints, double normalizationFactor) static Image
fastMarching
(Image image1, VectorUIntList trialPoints, double normalizationFactor, double stoppingValue) static Image
fastMarching
(Image image1, VectorUIntList trialPoints, double normalizationFactor, double stoppingValue, VectorDouble initialTrialValues) static Image
fastMarchingBase
(Image image1) static Image
fastMarchingBase
(Image image1, VectorUIntList trialPoints) static Image
fastMarchingBase
(Image image1, VectorUIntList trialPoints, double normalizationFactor) static Image
fastMarchingBase
(Image image1, VectorUIntList trialPoints, double normalizationFactor, double stoppingValue) static Image
fastMarchingBase
(Image image1, VectorUIntList trialPoints, double normalizationFactor, double stoppingValue, FastMarchingBaseImageFilter.TopologyCheckType topologyCheck) static Image
fastMarchingBase
(Image image1, VectorUIntList trialPoints, double normalizationFactor, double stoppingValue, FastMarchingBaseImageFilter.TopologyCheckType topologyCheck, VectorDouble initialTrialValues) static Image
fastMarchingUpwindGradient
(Image image1) static Image
fastMarchingUpwindGradient
(Image image1, VectorUIntList trialPoints) static Image
fastMarchingUpwindGradient
(Image image1, VectorUIntList trialPoints, long numberOfTargets) static Image
fastMarchingUpwindGradient
(Image image1, VectorUIntList trialPoints, long numberOfTargets, VectorUIntList targetPoints) static Image
fastMarchingUpwindGradient
(Image image1, VectorUIntList trialPoints, long numberOfTargets, VectorUIntList targetPoints, double targetOffset) static Image
fastMarchingUpwindGradient
(Image image1, VectorUIntList trialPoints, long numberOfTargets, VectorUIntList targetPoints, double targetOffset, double normalizationFactor) static Image
fastMarchingUpwindGradient
(Image image1, VectorUIntList trialPoints, long numberOfTargets, VectorUIntList targetPoints, double targetOffset, double normalizationFactor, VectorDouble initialTrialValues) static Image
fFTConvolution
(Image image, Image kernelImage) static Image
fFTConvolution
(Image image, Image kernelImage, boolean normalize) static Image
fFTConvolution
(Image image, Image kernelImage, boolean normalize, FFTConvolutionImageFilter.BoundaryConditionType boundaryCondition) static Image
fFTConvolution
(Image image, Image kernelImage, boolean normalize, FFTConvolutionImageFilter.BoundaryConditionType boundaryCondition, FFTConvolutionImageFilter.OutputRegionModeType outputRegionMode) static Image
fFTNormalizedCorrelation
(Image fixedImage, Image movingImage) static Image
fFTNormalizedCorrelation
(Image fixedImage, Image movingImage, long requiredNumberOfOverlappingPixels) static Image
fFTNormalizedCorrelation
(Image fixedImage, Image movingImage, long requiredNumberOfOverlappingPixels, double requiredFractionOfOverlappingPixels) static Image
static Image
fFTPad
(Image image1, FFTPadImageFilter.BoundaryConditionType boundaryCondition) static Image
fFTPad
(Image image1, FFTPadImageFilter.BoundaryConditionType boundaryCondition, int sizeGreatestPrimeFactor) static Image
static Image
static Image
static Image
flip
(Image image1, VectorBool flipAxes) static Image
flip
(Image image1, VectorBool flipAxes, boolean flipAboutOrigin) static Image
forwardFFT
(Image image1) static Image
Image itk::simple::GaborSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double frequency=0.4, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an n-dimensional image of a Gabor filter.static Image
gaborSource
(PixelIDValueEnum outputPixelType) Image itk::simple::GaborSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double frequency=0.4, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an n-dimensional image of a Gabor filter.static Image
gaborSource
(PixelIDValueEnum outputPixelType, VectorUInt32 size) Image itk::simple::GaborSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double frequency=0.4, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an n-dimensional image of a Gabor filter.static Image
gaborSource
(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma) Image itk::simple::GaborSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double frequency=0.4, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an n-dimensional image of a Gabor filter.static Image
gaborSource
(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble mean) Image itk::simple::GaborSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double frequency=0.4, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an n-dimensional image of a Gabor filter.static Image
gaborSource
(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble mean, double frequency) Image itk::simple::GaborSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double frequency=0.4, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an n-dimensional image of a Gabor filter.static Image
gaborSource
(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble mean, double frequency, VectorDouble origin) Image itk::simple::GaborSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double frequency=0.4, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an n-dimensional image of a Gabor filter.static Image
gaborSource
(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble mean, double frequency, VectorDouble origin, VectorDouble spacing) Image itk::simple::GaborSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double frequency=0.4, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an n-dimensional image of a Gabor filter.static Image
gaborSource
(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble mean, double frequency, VectorDouble origin, VectorDouble spacing, VectorDouble direction) Image itk::simple::GaborSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double frequency=0.4, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an n-dimensional image of a Gabor filter.static Image
Image itk::simple::GaussianSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double scale=255, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), bool normalized=false) Generate an n-dimensional image of a Gaussian.static Image
gaussianSource
(PixelIDValueEnum outputPixelType) Image itk::simple::GaussianSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double scale=255, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), bool normalized=false) Generate an n-dimensional image of a Gaussian.static Image
gaussianSource
(PixelIDValueEnum outputPixelType, VectorUInt32 size) Image itk::simple::GaussianSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double scale=255, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), bool normalized=false) Generate an n-dimensional image of a Gaussian.static Image
gaussianSource
(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma) Image itk::simple::GaussianSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double scale=255, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), bool normalized=false) Generate an n-dimensional image of a Gaussian.static Image
gaussianSource
(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble mean) Image itk::simple::GaussianSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double scale=255, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), bool normalized=false) Generate an n-dimensional image of a Gaussian.static Image
gaussianSource
(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble mean, double scale) Image itk::simple::GaussianSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double scale=255, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), bool normalized=false) Generate an n-dimensional image of a Gaussian.static Image
gaussianSource
(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble mean, double scale, VectorDouble origin) Image itk::simple::GaussianSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double scale=255, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), bool normalized=false) Generate an n-dimensional image of a Gaussian.static Image
gaussianSource
(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble mean, double scale, VectorDouble origin, VectorDouble spacing) Image itk::simple::GaussianSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double scale=255, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), bool normalized=false) Generate an n-dimensional image of a Gaussian.static Image
gaussianSource
(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble mean, double scale, VectorDouble origin, VectorDouble spacing, VectorDouble direction) Image itk::simple::GaussianSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double scale=255, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), bool normalized=false) Generate an n-dimensional image of a Gaussian.static Image
gaussianSource
(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble mean, double scale, VectorDouble origin, VectorDouble spacing, VectorDouble direction, boolean normalized) Image itk::simple::GaussianSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double scale=255, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), bool normalized=false) Generate an n-dimensional image of a Gaussian.static Image
geodesicActiveContourLevelSet
(Image initialImage, Image featureImage) static Image
geodesicActiveContourLevelSet
(Image initialImage, Image featureImage, double maximumRMSError) static Image
geodesicActiveContourLevelSet
(Image initialImage, Image featureImage, double maximumRMSError, double propagationScaling) static Image
geodesicActiveContourLevelSet
(Image initialImage, Image featureImage, double maximumRMSError, double propagationScaling, double curvatureScaling) static Image
geodesicActiveContourLevelSet
(Image initialImage, Image featureImage, double maximumRMSError, double propagationScaling, double curvatureScaling, double advectionScaling) static Image
geodesicActiveContourLevelSet
(Image initialImage, Image featureImage, double maximumRMSError, double propagationScaling, double curvatureScaling, double advectionScaling, long numberOfIterations) static Image
geodesicActiveContourLevelSet
(Image initialImage, Image featureImage, double maximumRMSError, double propagationScaling, double curvatureScaling, double advectionScaling, long numberOfIterations, boolean reverseExpansionDirection) static String
getPixelIDValueAsString
(int type) const std::string SITKCommon_EXPORT itk::simple::GetPixelIDValueAsString(PixelIDValueType type)static String
const std::string SITKCommon_EXPORT itk::simple::GetPixelIDValueAsString(PixelIDValueType type)static int
getPixelIDValueFromString
(String enumString) PixelIDValueType SITKCommon_EXPORT itk::simple::GetPixelIDValueFromString(const std::string &enumString) Function mapping enumeration names in std::string to values.static Image
static Image
static Image
static Image
gradientAnisotropicDiffusion
(Image image1) static Image
gradientAnisotropicDiffusion
(Image image1, double timeStep) static Image
gradientAnisotropicDiffusion
(Image image1, double timeStep, double conductanceParameter) static Image
gradientAnisotropicDiffusion
(Image image1, double timeStep, double conductanceParameter, long conductanceScalingUpdateInterval) static Image
gradientAnisotropicDiffusion
(Image image1, double timeStep, double conductanceParameter, long conductanceScalingUpdateInterval, long numberOfIterations) static Image
gradientMagnitude
(Image image1) static Image
gradientMagnitude
(Image image1, boolean useImageSpacing) static Image
static Image
gradientMagnitudeRecursiveGaussian
(Image image1, double sigma) static Image
gradientMagnitudeRecursiveGaussian
(Image image1, double sigma, boolean normalizeAcrossScale) static Image
gradientRecursiveGaussian
(Image image1) static Image
gradientRecursiveGaussian
(Image image1, double sigma) static Image
gradientRecursiveGaussian
(Image image1, double sigma, boolean normalizeAcrossScale) static Image
gradientRecursiveGaussian
(Image image1, double sigma, boolean normalizeAcrossScale, boolean useImageDirection) static Image
grayscaleConnectedClosing
(Image image1) static Image
grayscaleConnectedClosing
(Image image1, VectorUInt32 seed) static Image
grayscaleConnectedClosing
(Image image1, VectorUInt32 seed, boolean fullyConnected) static Image
grayscaleConnectedOpening
(Image image1) static Image
grayscaleConnectedOpening
(Image image1, VectorUInt32 seed) static Image
grayscaleConnectedOpening
(Image image1, VectorUInt32 seed, boolean fullyConnected) static Image
grayscaleDilate
(Image image1) static Image
grayscaleDilate
(Image image1, VectorUInt32 kernelRadius) static Image
grayscaleDilate
(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) static Image
grayscaleErode
(Image image1) static Image
grayscaleErode
(Image image1, VectorUInt32 kernelRadius) static Image
grayscaleErode
(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) static Image
grayscaleFillhole
(Image image1) static Image
grayscaleFillhole
(Image image1, boolean fullyConnected) static Image
grayscaleGeodesicDilate
(Image image1, Image image2) static Image
grayscaleGeodesicDilate
(Image image1, Image image2, boolean runOneIteration) static Image
grayscaleGeodesicDilate
(Image image1, Image image2, boolean runOneIteration, boolean fullyConnected) static Image
grayscaleGeodesicErode
(Image image1, Image image2) static Image
grayscaleGeodesicErode
(Image image1, Image image2, boolean runOneIteration) static Image
grayscaleGeodesicErode
(Image image1, Image image2, boolean runOneIteration, boolean fullyConnected) static Image
grayscaleGrindPeak
(Image image1) static Image
grayscaleGrindPeak
(Image image1, boolean fullyConnected) static Image
grayscaleMorphologicalClosing
(Image image1) static Image
grayscaleMorphologicalClosing
(Image image1, VectorUInt32 kernelRadius) static Image
grayscaleMorphologicalClosing
(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) static Image
grayscaleMorphologicalClosing
(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, boolean safeBorder) static Image
grayscaleMorphologicalOpening
(Image image1) static Image
grayscaleMorphologicalOpening
(Image image1, VectorUInt32 kernelRadius) static Image
grayscaleMorphologicalOpening
(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) static Image
grayscaleMorphologicalOpening
(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, boolean safeBorder) static Image
Image itk::simple::Greater(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
Image itk::simple::Greater(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
Image itk::simple::Greater(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
Image itk::simple::Greater(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
Image itk::simple::Greater(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
Image itk::simple::Greater(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
Image itk::simple::Greater(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
Image itk::simple::Greater(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
Image itk::simple::Greater(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
greaterEqual
(double constant, Image image2) Image itk::simple::GreaterEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
greaterEqual
(double constant, Image image2, short backgroundValue) Image itk::simple::GreaterEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
greaterEqual
(double constant, Image image2, short backgroundValue, short foregroundValue) Image itk::simple::GreaterEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
greaterEqual
(Image image1, double constant) Image itk::simple::GreaterEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
greaterEqual
(Image image1, double constant, short backgroundValue) Image itk::simple::GreaterEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
greaterEqual
(Image image1, double constant, short backgroundValue, short foregroundValue) Image itk::simple::GreaterEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
greaterEqual
(Image image1, Image image2) Image itk::simple::GreaterEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
greaterEqual
(Image image1, Image image2, short backgroundValue) Image itk::simple::GreaterEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
greaterEqual
(Image image1, Image image2, short backgroundValue, short foregroundValue) Image itk::simple::GreaterEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
Image itk::simple::GridSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 0.5), std::vector< double > gridSpacing=std::vector< double >(3, 4.0), std::vector< double > gridOffset=std::vector< double >(3, 0.0), double scale=255.0, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), std::vector< bool > whichDimensions=std::vector< bool >(3, true)) Generate an n-dimensional image of a grid.static Image
gridSource
(PixelIDValueEnum outputPixelType) Image itk::simple::GridSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 0.5), std::vector< double > gridSpacing=std::vector< double >(3, 4.0), std::vector< double > gridOffset=std::vector< double >(3, 0.0), double scale=255.0, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), std::vector< bool > whichDimensions=std::vector< bool >(3, true)) Generate an n-dimensional image of a grid.static Image
gridSource
(PixelIDValueEnum outputPixelType, VectorUInt32 size) Image itk::simple::GridSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 0.5), std::vector< double > gridSpacing=std::vector< double >(3, 4.0), std::vector< double > gridOffset=std::vector< double >(3, 0.0), double scale=255.0, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), std::vector< bool > whichDimensions=std::vector< bool >(3, true)) Generate an n-dimensional image of a grid.static Image
gridSource
(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma) Image itk::simple::GridSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 0.5), std::vector< double > gridSpacing=std::vector< double >(3, 4.0), std::vector< double > gridOffset=std::vector< double >(3, 0.0), double scale=255.0, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), std::vector< bool > whichDimensions=std::vector< bool >(3, true)) Generate an n-dimensional image of a grid.static Image
gridSource
(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble gridSpacing) Image itk::simple::GridSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 0.5), std::vector< double > gridSpacing=std::vector< double >(3, 4.0), std::vector< double > gridOffset=std::vector< double >(3, 0.0), double scale=255.0, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), std::vector< bool > whichDimensions=std::vector< bool >(3, true)) Generate an n-dimensional image of a grid.static Image
gridSource
(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble gridSpacing, VectorDouble gridOffset) Image itk::simple::GridSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 0.5), std::vector< double > gridSpacing=std::vector< double >(3, 4.0), std::vector< double > gridOffset=std::vector< double >(3, 0.0), double scale=255.0, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), std::vector< bool > whichDimensions=std::vector< bool >(3, true)) Generate an n-dimensional image of a grid.static Image
gridSource
(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble gridSpacing, VectorDouble gridOffset, double scale) Image itk::simple::GridSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 0.5), std::vector< double > gridSpacing=std::vector< double >(3, 4.0), std::vector< double > gridOffset=std::vector< double >(3, 0.0), double scale=255.0, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), std::vector< bool > whichDimensions=std::vector< bool >(3, true)) Generate an n-dimensional image of a grid.static Image
gridSource
(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble gridSpacing, VectorDouble gridOffset, double scale, VectorDouble origin) Image itk::simple::GridSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 0.5), std::vector< double > gridSpacing=std::vector< double >(3, 4.0), std::vector< double > gridOffset=std::vector< double >(3, 0.0), double scale=255.0, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), std::vector< bool > whichDimensions=std::vector< bool >(3, true)) Generate an n-dimensional image of a grid.static Image
gridSource
(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble gridSpacing, VectorDouble gridOffset, double scale, VectorDouble origin, VectorDouble spacing) Image itk::simple::GridSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 0.5), std::vector< double > gridSpacing=std::vector< double >(3, 4.0), std::vector< double > gridOffset=std::vector< double >(3, 0.0), double scale=255.0, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), std::vector< bool > whichDimensions=std::vector< bool >(3, true)) Generate an n-dimensional image of a grid.static Image
gridSource
(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble gridSpacing, VectorDouble gridOffset, double scale, VectorDouble origin, VectorDouble spacing, VectorDouble direction) Image itk::simple::GridSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 0.5), std::vector< double > gridSpacing=std::vector< double >(3, 4.0), std::vector< double > gridOffset=std::vector< double >(3, 0.0), double scale=255.0, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), std::vector< bool > whichDimensions=std::vector< bool >(3, true)) Generate an n-dimensional image of a grid.static Image
gridSource
(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble gridSpacing, VectorDouble gridOffset, double scale, VectorDouble origin, VectorDouble spacing, VectorDouble direction, VectorBool whichDimensions) Image itk::simple::GridSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 0.5), std::vector< double > gridSpacing=std::vector< double >(3, 4.0), std::vector< double > gridOffset=std::vector< double >(3, 0.0), double scale=255.0, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), std::vector< bool > whichDimensions=std::vector< bool >(3, true)) Generate an n-dimensional image of a grid.static Image
halfHermitianToRealInverseFFT
(Image image1) static Image
halfHermitianToRealInverseFFT
(Image image1, boolean actualXDimensionIsOdd) static String
std::string itk::simple::Hash(const Image &image, HashImageFilter::HashFunction function=HashImageFilter::SHA1)static String
hash
(Image image, HashImageFilter.HashFunction function) std::string itk::simple::Hash(const Image &image, HashImageFilter::HashFunction function=HashImageFilter::SHA1)static Image
static Image
static Image
static Image
static Image
static Image
static Image
histogramMatching
(Image image, Image referenceImage) static Image
histogramMatching
(Image image, Image referenceImage, long numberOfHistogramLevels) static Image
histogramMatching
(Image image, Image referenceImage, long numberOfHistogramLevels, long numberOfMatchPoints) static Image
histogramMatching
(Image image, Image referenceImage, long numberOfHistogramLevels, long numberOfMatchPoints, boolean thresholdAtMeanIntensity) static Image
static Image
static Image
static Image
static Image
static Image
huangThreshold
(Image image) static Image
huangThreshold
(Image image, short insideValue) static Image
huangThreshold
(Image image, short insideValue, short outsideValue) static Image
huangThreshold
(Image image, short insideValue, short outsideValue, long numberOfHistogramBins) static Image
huangThreshold
(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput) static Image
huangThreshold
(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue) static Image
huangThreshold
(Image image, Image maskImage) static Image
huangThreshold
(Image image, Image maskImage, short insideValue) static Image
huangThreshold
(Image image, Image maskImage, short insideValue, short outsideValue) static Image
huangThreshold
(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins) static Image
huangThreshold
(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput) static Image
huangThreshold
(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue) static Image
intensityWindowing
(Image image1) static Image
intensityWindowing
(Image image1, double windowMinimum) static Image
intensityWindowing
(Image image1, double windowMinimum, double windowMaximum) static Image
intensityWindowing
(Image image1, double windowMinimum, double windowMaximum, double outputMinimum) static Image
intensityWindowing
(Image image1, double windowMinimum, double windowMaximum, double outputMinimum, double outputMaximum) static Image
intermodesThreshold
(Image image) static Image
intermodesThreshold
(Image image, short insideValue) static Image
intermodesThreshold
(Image image, short insideValue, short outsideValue) static Image
intermodesThreshold
(Image image, short insideValue, short outsideValue, long numberOfHistogramBins) static Image
intermodesThreshold
(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput) static Image
intermodesThreshold
(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue) static Image
intermodesThreshold
(Image image, Image maskImage) static Image
intermodesThreshold
(Image image, Image maskImage, short insideValue) static Image
intermodesThreshold
(Image image, Image maskImage, short insideValue, short outsideValue) static Image
intermodesThreshold
(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins) static Image
intermodesThreshold
(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput) static Image
intermodesThreshold
(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue) static Image
inverseDeconvolution
(Image image1, Image image2) static Image
inverseDeconvolution
(Image image1, Image image2, double kernelZeroMagnitudeThreshold) static Image
inverseDeconvolution
(Image image1, Image image2, double kernelZeroMagnitudeThreshold, boolean normalize) static Image
inverseDeconvolution
(Image image1, Image image2, double kernelZeroMagnitudeThreshold, boolean normalize, InverseDeconvolutionImageFilter.BoundaryConditionType boundaryCondition) static Image
inverseDeconvolution
(Image image1, Image image2, double kernelZeroMagnitudeThreshold, boolean normalize, InverseDeconvolutionImageFilter.BoundaryConditionType boundaryCondition, InverseDeconvolutionImageFilter.OutputRegionModeType outputRegionMode) static Image
inverseDisplacementField
(Image image1) static Image
inverseDisplacementField
(Image image1, VectorUInt32 size) static Image
inverseDisplacementField
(Image image1, VectorUInt32 size, VectorDouble outputOrigin) static Image
inverseDisplacementField
(Image image1, VectorUInt32 size, VectorDouble outputOrigin, VectorDouble outputSpacing) static Image
inverseDisplacementField
(Image image1, VectorUInt32 size, VectorDouble outputOrigin, VectorDouble outputSpacing, long subsamplingFactor) static Image
inverseFFT
(Image image1) static Image
invertDisplacementField
(Image image1) static Image
invertDisplacementField
(Image image1, long maximumNumberOfIterations) static Image
invertDisplacementField
(Image image1, long maximumNumberOfIterations, double maxErrorToleranceThreshold) static Image
invertDisplacementField
(Image image1, long maximumNumberOfIterations, double maxErrorToleranceThreshold, double meanErrorToleranceThreshold) static Image
invertDisplacementField
(Image image1, long maximumNumberOfIterations, double maxErrorToleranceThreshold, double meanErrorToleranceThreshold, boolean enforceBoundaryCondition) static Image
invertIntensity
(Image image1) static Image
invertIntensity
(Image image1, double maximum) static Image
isoContourDistance
(Image image1) static Image
isoContourDistance
(Image image1, double levelSetValue) static Image
isoContourDistance
(Image image1, double levelSetValue, double farValue) static Image
isoDataThreshold
(Image image) static Image
isoDataThreshold
(Image image, short insideValue) static Image
isoDataThreshold
(Image image, short insideValue, short outsideValue) static Image
isoDataThreshold
(Image image, short insideValue, short outsideValue, long numberOfHistogramBins) static Image
isoDataThreshold
(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput) static Image
isoDataThreshold
(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue) static Image
isoDataThreshold
(Image image, Image maskImage) static Image
isoDataThreshold
(Image image, Image maskImage, short insideValue) static Image
isoDataThreshold
(Image image, Image maskImage, short insideValue, short outsideValue) static Image
isoDataThreshold
(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins) static Image
isoDataThreshold
(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput) static Image
isoDataThreshold
(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue) static Image
isolatedConnected
(Image image1) static Image
isolatedConnected
(Image image1, VectorUInt32 seed1) static Image
isolatedConnected
(Image image1, VectorUInt32 seed1, VectorUInt32 seed2) static Image
isolatedConnected
(Image image1, VectorUInt32 seed1, VectorUInt32 seed2, double lower) static Image
isolatedConnected
(Image image1, VectorUInt32 seed1, VectorUInt32 seed2, double lower, double upper) static Image
isolatedConnected
(Image image1, VectorUInt32 seed1, VectorUInt32 seed2, double lower, double upper, short replaceValue) static Image
isolatedConnected
(Image image1, VectorUInt32 seed1, VectorUInt32 seed2, double lower, double upper, short replaceValue, double isolatedValueTolerance) static Image
isolatedConnected
(Image image1, VectorUInt32 seed1, VectorUInt32 seed2, double lower, double upper, short replaceValue, double isolatedValueTolerance, boolean findUpperThreshold) static Image
isolatedWatershed
(Image image1) static Image
isolatedWatershed
(Image image1, VectorUInt32 seed1) static Image
isolatedWatershed
(Image image1, VectorUInt32 seed1, VectorUInt32 seed2) static Image
isolatedWatershed
(Image image1, VectorUInt32 seed1, VectorUInt32 seed2, double threshold) static Image
isolatedWatershed
(Image image1, VectorUInt32 seed1, VectorUInt32 seed2, double threshold, double upperValueLimit) static Image
isolatedWatershed
(Image image1, VectorUInt32 seed1, VectorUInt32 seed2, double threshold, double upperValueLimit, double isolatedValueTolerance) static Image
isolatedWatershed
(Image image1, VectorUInt32 seed1, VectorUInt32 seed2, double threshold, double upperValueLimit, double isolatedValueTolerance, short replaceValue1) static Image
isolatedWatershed
(Image image1, VectorUInt32 seed1, VectorUInt32 seed2, double threshold, double upperValueLimit, double isolatedValueTolerance, short replaceValue1, short replaceValue2) static Image
static Image
iterativeInverseDisplacementField
(Image image1, long numberOfIterations) static Image
iterativeInverseDisplacementField
(Image image1, long numberOfIterations, double stopValue) static Image
joinSeries
(Image image1) static Image
joinSeries
(Image image1, double origin) static Image
joinSeries
(Image image1, double origin, double spacing) static Image
joinSeries
(Image image1, Image image2) static Image
joinSeries
(Image image1, Image image2, double origin) static Image
joinSeries
(Image image1, Image image2, double origin, double spacing) static Image
joinSeries
(Image image1, Image image2, Image image3) static Image
joinSeries
(Image image1, Image image2, Image image3, double origin) static Image
joinSeries
(Image image1, Image image2, Image image3, double origin, double spacing) static Image
joinSeries
(Image image1, Image image2, Image image3, Image image4) static Image
joinSeries
(Image image1, Image image2, Image image3, Image image4, double origin) static Image
joinSeries
(Image image1, Image image2, Image image3, Image image4, double origin, double spacing) static Image
static Image
static Image
joinSeries
(Image image1, Image image2, Image image3, Image image4, Image image5, double origin, double spacing) static Image
joinSeries
(VectorOfImage images) static Image
joinSeries
(VectorOfImage images, double origin) static Image
joinSeries
(VectorOfImage images, double origin, double spacing) static Image
kittlerIllingworthThreshold
(Image image) static Image
kittlerIllingworthThreshold
(Image image, short insideValue) static Image
kittlerIllingworthThreshold
(Image image, short insideValue, short outsideValue) static Image
kittlerIllingworthThreshold
(Image image, short insideValue, short outsideValue, long numberOfHistogramBins) static Image
kittlerIllingworthThreshold
(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput) static Image
kittlerIllingworthThreshold
(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue) static Image
kittlerIllingworthThreshold
(Image image, Image maskImage) static Image
kittlerIllingworthThreshold
(Image image, Image maskImage, short insideValue) static Image
kittlerIllingworthThreshold
(Image image, Image maskImage, short insideValue, short outsideValue) static Image
kittlerIllingworthThreshold
(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins) static Image
kittlerIllingworthThreshold
(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput) static Image
kittlerIllingworthThreshold
(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue) static Image
labelContour
(Image image1) static Image
labelContour
(Image image1, boolean fullyConnected) static Image
labelContour
(Image image1, boolean fullyConnected, double backgroundValue) static Image
labelImageToLabelMap
(Image image1) static Image
labelImageToLabelMap
(Image image1, double backgroundValue) static Image
labelMapContourOverlay
(Image labelMapImage, Image featureImage) static Image
labelMapContourOverlay
(Image labelMapImage, Image featureImage, double opacity) static Image
labelMapContourOverlay
(Image labelMapImage, Image featureImage, double opacity, VectorUInt32 dilationRadius) static Image
labelMapContourOverlay
(Image labelMapImage, Image featureImage, double opacity, VectorUInt32 dilationRadius, VectorUInt32 contourThickness) static Image
labelMapContourOverlay
(Image labelMapImage, Image featureImage, double opacity, VectorUInt32 dilationRadius, VectorUInt32 contourThickness, long sliceDimension) static Image
labelMapContourOverlay
(Image labelMapImage, Image featureImage, double opacity, VectorUInt32 dilationRadius, VectorUInt32 contourThickness, long sliceDimension, LabelMapContourOverlayImageFilter.ContourTypeType contourType) static Image
labelMapContourOverlay
(Image labelMapImage, Image featureImage, double opacity, VectorUInt32 dilationRadius, VectorUInt32 contourThickness, long sliceDimension, LabelMapContourOverlayImageFilter.ContourTypeType contourType, LabelMapContourOverlayImageFilter.PriorityType priority) static Image
labelMapContourOverlay
(Image labelMapImage, Image featureImage, double opacity, VectorUInt32 dilationRadius, VectorUInt32 contourThickness, long sliceDimension, LabelMapContourOverlayImageFilter.ContourTypeType contourType, LabelMapContourOverlayImageFilter.PriorityType priority, VectorUInt8 colormap) static Image
labelMapMask
(Image labelMapImage, Image featureImage) static Image
labelMapMask
(Image labelMapImage, Image featureImage, long label) static Image
labelMapMask
(Image labelMapImage, Image featureImage, long label, double backgroundValue) static Image
labelMapMask
(Image labelMapImage, Image featureImage, long label, double backgroundValue, boolean negated) static Image
labelMapMask
(Image labelMapImage, Image featureImage, long label, double backgroundValue, boolean negated, boolean crop) static Image
labelMapMask
(Image labelMapImage, Image featureImage, long label, double backgroundValue, boolean negated, boolean crop, VectorUInt32 cropBorder) static Image
labelMapOverlay
(Image labelMapImage, Image featureImage) static Image
labelMapOverlay
(Image labelMapImage, Image featureImage, double opacity) static Image
labelMapOverlay
(Image labelMapImage, Image featureImage, double opacity, VectorUInt8 colormap) static Image
labelMapToBinary
(Image image1) static Image
labelMapToBinary
(Image image1, double backgroundValue) static Image
labelMapToBinary
(Image image1, double backgroundValue, double foregroundValue) static Image
labelMapToLabel
(Image image1) static Image
labelMapToRGB
(Image image1) static Image
labelMapToRGB
(Image image1, VectorUInt8 colormap) static Image
labelOverlay
(Image image, Image labelImage) static Image
labelOverlay
(Image image, Image labelImage, double opacity) static Image
labelOverlay
(Image image, Image labelImage, double opacity, double backgroundValue) static Image
labelOverlay
(Image image, Image labelImage, double opacity, double backgroundValue, VectorUInt8 colormap) static Image
labelToRGB
(Image image1) static Image
labelToRGB
(Image image1, double backgroundValue) static Image
labelToRGB
(Image image1, double backgroundValue, VectorUInt8 colormap) static Image
labelUniqueLabelMap
(Image image1) static Image
labelUniqueLabelMap
(Image image1, boolean reverseOrdering) static Image
labelVoting
(Image image1) static Image
labelVoting
(Image image1, long labelForUndecidedPixels) static Image
labelVoting
(Image image1, Image image2) static Image
labelVoting
(Image image1, Image image2, long labelForUndecidedPixels) static Image
labelVoting
(Image image1, Image image2, Image image3) static Image
labelVoting
(Image image1, Image image2, Image image3, long labelForUndecidedPixels) static Image
labelVoting
(Image image1, Image image2, Image image3, Image image4) static Image
labelVoting
(Image image1, Image image2, Image image3, Image image4, long labelForUndecidedPixels) static Image
static Image
labelVoting
(Image image1, Image image2, Image image3, Image image4, Image image5, long labelForUndecidedPixels) static Image
labelVoting
(VectorOfImage images) static Image
labelVoting
(VectorOfImage images, long labelForUndecidedPixels) static Transform
landmarkBasedTransformInitializer
(Transform transform) Transform itk::simple::LandmarkBasedTransformInitializer(const Transform &transform, const std::vector< double > &fixedLandmarks=std::vector< double >(), const std::vector< double > &movingLandmarks=std::vector< double >(), const std::vector< double > &landmarkWeight=std::vector< double >(), const Image &referenceImage=Image(), unsigned int numberOfControlPoints=4u) itk::simple::LandmarkBasedTransformInitializerFilter Procedural Interface This function directly calls the execute method of LandmarkBasedTransformInitializerFilter in order to support a procedural API See: itk::simple::LandmarkBasedTransformInitializerFilter for the object oriented interfacestatic Transform
landmarkBasedTransformInitializer
(Transform transform, VectorDouble fixedLandmarks) Transform itk::simple::LandmarkBasedTransformInitializer(const Transform &transform, const std::vector< double > &fixedLandmarks=std::vector< double >(), const std::vector< double > &movingLandmarks=std::vector< double >(), const std::vector< double > &landmarkWeight=std::vector< double >(), const Image &referenceImage=Image(), unsigned int numberOfControlPoints=4u) itk::simple::LandmarkBasedTransformInitializerFilter Procedural Interface This function directly calls the execute method of LandmarkBasedTransformInitializerFilter in order to support a procedural API See: itk::simple::LandmarkBasedTransformInitializerFilter for the object oriented interfacestatic Transform
landmarkBasedTransformInitializer
(Transform transform, VectorDouble fixedLandmarks, VectorDouble movingLandmarks) Transform itk::simple::LandmarkBasedTransformInitializer(const Transform &transform, const std::vector< double > &fixedLandmarks=std::vector< double >(), const std::vector< double > &movingLandmarks=std::vector< double >(), const std::vector< double > &landmarkWeight=std::vector< double >(), const Image &referenceImage=Image(), unsigned int numberOfControlPoints=4u) itk::simple::LandmarkBasedTransformInitializerFilter Procedural Interface This function directly calls the execute method of LandmarkBasedTransformInitializerFilter in order to support a procedural API See: itk::simple::LandmarkBasedTransformInitializerFilter for the object oriented interfacestatic Transform
landmarkBasedTransformInitializer
(Transform transform, VectorDouble fixedLandmarks, VectorDouble movingLandmarks, VectorDouble landmarkWeight) Transform itk::simple::LandmarkBasedTransformInitializer(const Transform &transform, const std::vector< double > &fixedLandmarks=std::vector< double >(), const std::vector< double > &movingLandmarks=std::vector< double >(), const std::vector< double > &landmarkWeight=std::vector< double >(), const Image &referenceImage=Image(), unsigned int numberOfControlPoints=4u) itk::simple::LandmarkBasedTransformInitializerFilter Procedural Interface This function directly calls the execute method of LandmarkBasedTransformInitializerFilter in order to support a procedural API See: itk::simple::LandmarkBasedTransformInitializerFilter for the object oriented interfacestatic Transform
landmarkBasedTransformInitializer
(Transform transform, VectorDouble fixedLandmarks, VectorDouble movingLandmarks, VectorDouble landmarkWeight, Image referenceImage) Transform itk::simple::LandmarkBasedTransformInitializer(const Transform &transform, const std::vector< double > &fixedLandmarks=std::vector< double >(), const std::vector< double > &movingLandmarks=std::vector< double >(), const std::vector< double > &landmarkWeight=std::vector< double >(), const Image &referenceImage=Image(), unsigned int numberOfControlPoints=4u) itk::simple::LandmarkBasedTransformInitializerFilter Procedural Interface This function directly calls the execute method of LandmarkBasedTransformInitializerFilter in order to support a procedural API See: itk::simple::LandmarkBasedTransformInitializerFilter for the object oriented interfacestatic Transform
landmarkBasedTransformInitializer
(Transform transform, VectorDouble fixedLandmarks, VectorDouble movingLandmarks, VectorDouble landmarkWeight, Image referenceImage, long numberOfControlPoints) Transform itk::simple::LandmarkBasedTransformInitializer(const Transform &transform, const std::vector< double > &fixedLandmarks=std::vector< double >(), const std::vector< double > &movingLandmarks=std::vector< double >(), const std::vector< double > &landmarkWeight=std::vector< double >(), const Image &referenceImage=Image(), unsigned int numberOfControlPoints=4u) itk::simple::LandmarkBasedTransformInitializerFilter Procedural Interface This function directly calls the execute method of LandmarkBasedTransformInitializerFilter in order to support a procedural API See: itk::simple::LandmarkBasedTransformInitializerFilter for the object oriented interfacestatic Image
landweberDeconvolution
(Image image1, Image image2) static Image
landweberDeconvolution
(Image image1, Image image2, double alpha) static Image
landweberDeconvolution
(Image image1, Image image2, double alpha, int numberOfIterations) static Image
landweberDeconvolution
(Image image1, Image image2, double alpha, int numberOfIterations, boolean normalize) static Image
landweberDeconvolution
(Image image1, Image image2, double alpha, int numberOfIterations, boolean normalize, LandweberDeconvolutionImageFilter.BoundaryConditionType boundaryCondition) static Image
landweberDeconvolution
(Image image1, Image image2, double alpha, int numberOfIterations, boolean normalize, LandweberDeconvolutionImageFilter.BoundaryConditionType boundaryCondition, LandweberDeconvolutionImageFilter.OutputRegionModeType outputRegionMode) static Image
static Image
static Image
laplacianRecursiveGaussian
(Image image1) static Image
laplacianRecursiveGaussian
(Image image1, double sigma) static Image
laplacianRecursiveGaussian
(Image image1, double sigma, boolean normalizeAcrossScale) static Image
laplacianSegmentationLevelSet
(Image initialImage, Image featureImage) static Image
laplacianSegmentationLevelSet
(Image initialImage, Image featureImage, double maximumRMSError) static Image
laplacianSegmentationLevelSet
(Image initialImage, Image featureImage, double maximumRMSError, double propagationScaling) static Image
laplacianSegmentationLevelSet
(Image initialImage, Image featureImage, double maximumRMSError, double propagationScaling, double curvatureScaling) static Image
laplacianSegmentationLevelSet
(Image initialImage, Image featureImage, double maximumRMSError, double propagationScaling, double curvatureScaling, long numberOfIterations) static Image
laplacianSegmentationLevelSet
(Image initialImage, Image featureImage, double maximumRMSError, double propagationScaling, double curvatureScaling, long numberOfIterations, boolean reverseExpansionDirection) static Image
laplacianSharpening
(Image image1) static Image
laplacianSharpening
(Image image1, boolean useImageSpacing) static Image
Image itk::simple::Less(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
Image itk::simple::Less(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
Image itk::simple::Less(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
Image itk::simple::Less(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
Image itk::simple::Less(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
Image itk::simple::Less(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
Image itk::simple::Less(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
Image itk::simple::Less(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
Image itk::simple::Less(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
Image itk::simple::LessEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
Image itk::simple::LessEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
Image itk::simple::LessEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
Image itk::simple::LessEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
Image itk::simple::LessEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
Image itk::simple::LessEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
Image itk::simple::LessEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
Image itk::simple::LessEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
Image itk::simple::LessEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
liThreshold
(Image image) static Image
liThreshold
(Image image, short insideValue) static Image
liThreshold
(Image image, short insideValue, short outsideValue) static Image
liThreshold
(Image image, short insideValue, short outsideValue, long numberOfHistogramBins) static Image
liThreshold
(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput) static Image
liThreshold
(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue) static Image
liThreshold
(Image image, Image maskImage) static Image
liThreshold
(Image image, Image maskImage, short insideValue) static Image
liThreshold
(Image image, Image maskImage, short insideValue, short outsideValue) static Image
liThreshold
(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins) static Image
liThreshold
(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput) static Image
liThreshold
(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue) static Image
static Image
static Image
magnitudeAndPhaseToComplex
(double constant, Image image2) Image itk::simple::MagnitudeAndPhaseToComplex(Image &&image1, double constant)static Image
magnitudeAndPhaseToComplex
(Image image1, double constant) Image itk::simple::MagnitudeAndPhaseToComplex(Image &&image1, double constant)static Image
magnitudeAndPhaseToComplex
(Image image1, Image image2) Image itk::simple::MagnitudeAndPhaseToComplex(Image &&image1, double constant)static Image
static Image
static Image
static Image
maskedAssign
(Image image, Image maskImage) static Image
maskedAssign
(Image image, Image maskImage, double assignConstant) static Image
maskedAssign
(Image image, Image maskImage, Image assignImage) static Image
maskedAssign
(Image image, Image maskImage, Image assignImage, double assignConstant) static Image
maskedFFTNormalizedCorrelation
(Image fixedImage, Image movingImage, Image fixedImageMask, Image movingImageMask) static Image
maskedFFTNormalizedCorrelation
(Image fixedImage, Image movingImage, Image fixedImageMask, Image movingImageMask, long requiredNumberOfOverlappingPixels) static Image
maskedFFTNormalizedCorrelation
(Image fixedImage, Image movingImage, Image fixedImageMask, Image movingImageMask, long requiredNumberOfOverlappingPixels, float requiredFractionOfOverlappingPixels) static Image
maskNegated
(Image image, Image maskImage) static Image
maskNegated
(Image image, Image maskImage, double outsideValue) static Image
maskNegated
(Image image, Image maskImage, double outsideValue, double maskingValue) static Image
Image itk::simple::Maximum(Image &&image1, double constant)static Image
Image itk::simple::Maximum(Image &&image1, double constant)static Image
Image itk::simple::Maximum(Image &&image1, double constant)static Image
maximumEntropyThreshold
(Image image) static Image
maximumEntropyThreshold
(Image image, short insideValue) static Image
maximumEntropyThreshold
(Image image, short insideValue, short outsideValue) static Image
maximumEntropyThreshold
(Image image, short insideValue, short outsideValue, long numberOfHistogramBins) static Image
maximumEntropyThreshold
(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput) static Image
maximumEntropyThreshold
(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue) static Image
maximumEntropyThreshold
(Image image, Image maskImage) static Image
maximumEntropyThreshold
(Image image, Image maskImage, short insideValue) static Image
maximumEntropyThreshold
(Image image, Image maskImage, short insideValue, short outsideValue) static Image
maximumEntropyThreshold
(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins) static Image
maximumEntropyThreshold
(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput) static Image
maximumEntropyThreshold
(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue) static Image
maximumProjection
(Image image1) static Image
maximumProjection
(Image image1, long projectionDimension) static Image
static Image
mean
(Image image1, VectorUInt32 radius) static Image
meanProjection
(Image image1) static Image
meanProjection
(Image image1, long projectionDimension) static Image
static Image
median
(Image image1, VectorUInt32 radius) static Image
medianProjection
(Image image1) static Image
medianProjection
(Image image1, long projectionDimension) static Image
mergeLabelMap
(Image image1) static Image
mergeLabelMap
(Image image1, Image image2) static Image
mergeLabelMap
(Image image1, Image image2, Image image3) static Image
mergeLabelMap
(Image image1, Image image2, Image image3, Image image4) static Image
static Image
mergeLabelMap
(Image image1, Image image2, Image image3, Image image4, Image image5, MergeLabelMapFilter.MethodType method) static Image
mergeLabelMap
(Image image1, Image image2, Image image3, Image image4, MergeLabelMapFilter.MethodType method) static Image
mergeLabelMap
(Image image1, Image image2, Image image3, MergeLabelMapFilter.MethodType method) static Image
mergeLabelMap
(Image image1, Image image2, MergeLabelMapFilter.MethodType method) static Image
mergeLabelMap
(Image image1, MergeLabelMapFilter.MethodType method) static Image
mergeLabelMap
(VectorOfImage images) static Image
mergeLabelMap
(VectorOfImage images, MergeLabelMapFilter.MethodType method) static Image
Image itk::simple::Minimum(Image &&image1, double constant)static Image
Image itk::simple::Minimum(Image &&image1, double constant)static Image
Image itk::simple::Minimum(Image &&image1, double constant)static Image
minimumProjection
(Image image1) static Image
minimumProjection
(Image image1, long projectionDimension) static Image
minMaxCurvatureFlow
(Image image1) static Image
minMaxCurvatureFlow
(Image image1, double timeStep) static Image
minMaxCurvatureFlow
(Image image1, double timeStep, long numberOfIterations) static Image
minMaxCurvatureFlow
(Image image1, double timeStep, long numberOfIterations, int stencilRadius) static Image
static Image
mirrorPad
(Image image1, VectorUInt32 padLowerBound) static Image
mirrorPad
(Image image1, VectorUInt32 padLowerBound, VectorUInt32 padUpperBound) static Image
mirrorPad
(Image image1, VectorUInt32 padLowerBound, VectorUInt32 padUpperBound, double decayBase) static Image
Image itk::simple::Modulus(uint32_t constant, const Image &image2)static Image
Image itk::simple::Modulus(uint32_t constant, const Image &image2)static Image
Image itk::simple::Modulus(uint32_t constant, const Image &image2)static Image
momentsThreshold
(Image image) static Image
momentsThreshold
(Image image, short insideValue) static Image
momentsThreshold
(Image image, short insideValue, short outsideValue) static Image
momentsThreshold
(Image image, short insideValue, short outsideValue, long numberOfHistogramBins) static Image
momentsThreshold
(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput) static Image
momentsThreshold
(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue) static Image
momentsThreshold
(Image image, Image maskImage) static Image
momentsThreshold
(Image image, Image maskImage, short insideValue) static Image
momentsThreshold
(Image image, Image maskImage, short insideValue, short outsideValue) static Image
momentsThreshold
(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins) static Image
momentsThreshold
(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput) static Image
momentsThreshold
(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue) static Image
morphologicalGradient
(Image image1) static Image
morphologicalGradient
(Image image1, VectorUInt32 kernelRadius) static Image
morphologicalGradient
(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) static Image
morphologicalWatershed
(Image image1) static Image
morphologicalWatershed
(Image image1, double level) static Image
morphologicalWatershed
(Image image1, double level, boolean markWatershedLine) static Image
morphologicalWatershed
(Image image1, double level, boolean markWatershedLine, boolean fullyConnected) static Image
morphologicalWatershedFromMarkers
(Image image, Image markerImage) static Image
morphologicalWatershedFromMarkers
(Image image, Image markerImage, boolean markWatershedLine) static Image
morphologicalWatershedFromMarkers
(Image image, Image markerImage, boolean markWatershedLine, boolean fullyConnected) static Image
multiLabelSTAPLE
(Image image1) static Image
multiLabelSTAPLE
(Image image1, long labelForUndecidedPixels) static Image
multiLabelSTAPLE
(Image image1, long labelForUndecidedPixels, float terminationUpdateThreshold) static Image
multiLabelSTAPLE
(Image image1, long labelForUndecidedPixels, float terminationUpdateThreshold, long maximumNumberOfIterations) static Image
multiLabelSTAPLE
(Image image1, long labelForUndecidedPixels, float terminationUpdateThreshold, long maximumNumberOfIterations, VectorFloat priorProbabilities) static Image
multiLabelSTAPLE
(Image image1, Image image2) static Image
multiLabelSTAPLE
(Image image1, Image image2, long labelForUndecidedPixels) static Image
multiLabelSTAPLE
(Image image1, Image image2, long labelForUndecidedPixels, float terminationUpdateThreshold) static Image
multiLabelSTAPLE
(Image image1, Image image2, long labelForUndecidedPixels, float terminationUpdateThreshold, long maximumNumberOfIterations) static Image
multiLabelSTAPLE
(Image image1, Image image2, long labelForUndecidedPixels, float terminationUpdateThreshold, long maximumNumberOfIterations, VectorFloat priorProbabilities) static Image
multiLabelSTAPLE
(Image image1, Image image2, Image image3) static Image
multiLabelSTAPLE
(Image image1, Image image2, Image image3, long labelForUndecidedPixels) static Image
multiLabelSTAPLE
(Image image1, Image image2, Image image3, long labelForUndecidedPixels, float terminationUpdateThreshold) static Image
multiLabelSTAPLE
(Image image1, Image image2, Image image3, long labelForUndecidedPixels, float terminationUpdateThreshold, long maximumNumberOfIterations) static Image
multiLabelSTAPLE
(Image image1, Image image2, Image image3, long labelForUndecidedPixels, float terminationUpdateThreshold, long maximumNumberOfIterations, VectorFloat priorProbabilities) static Image
multiLabelSTAPLE
(Image image1, Image image2, Image image3, Image image4) static Image
multiLabelSTAPLE
(Image image1, Image image2, Image image3, Image image4, long labelForUndecidedPixels) static Image
multiLabelSTAPLE
(Image image1, Image image2, Image image3, Image image4, long labelForUndecidedPixels, float terminationUpdateThreshold) static Image
multiLabelSTAPLE
(Image image1, Image image2, Image image3, Image image4, long labelForUndecidedPixels, float terminationUpdateThreshold, long maximumNumberOfIterations) static Image
multiLabelSTAPLE
(Image image1, Image image2, Image image3, Image image4, long labelForUndecidedPixels, float terminationUpdateThreshold, long maximumNumberOfIterations, VectorFloat priorProbabilities) static Image
static Image
multiLabelSTAPLE
(Image image1, Image image2, Image image3, Image image4, Image image5, long labelForUndecidedPixels) static Image
multiLabelSTAPLE
(Image image1, Image image2, Image image3, Image image4, Image image5, long labelForUndecidedPixels, float terminationUpdateThreshold) static Image
multiLabelSTAPLE
(Image image1, Image image2, Image image3, Image image4, Image image5, long labelForUndecidedPixels, float terminationUpdateThreshold, long maximumNumberOfIterations) static Image
multiLabelSTAPLE
(Image image1, Image image2, Image image3, Image image4, Image image5, long labelForUndecidedPixels, float terminationUpdateThreshold, long maximumNumberOfIterations, VectorFloat priorProbabilities) static Image
multiLabelSTAPLE
(VectorOfImage images) static Image
multiLabelSTAPLE
(VectorOfImage images, long labelForUndecidedPixels) static Image
multiLabelSTAPLE
(VectorOfImage images, long labelForUndecidedPixels, float terminationUpdateThreshold) static Image
multiLabelSTAPLE
(VectorOfImage images, long labelForUndecidedPixels, float terminationUpdateThreshold, long maximumNumberOfIterations) static Image
multiLabelSTAPLE
(VectorOfImage images, long labelForUndecidedPixels, float terminationUpdateThreshold, long maximumNumberOfIterations, VectorFloat priorProbabilities) static Image
Image itk::simple::Multiply(Image &&image1, double constant)static Image
Image itk::simple::Multiply(Image &&image1, double constant)static Image
Image itk::simple::Multiply(Image &&image1, double constant)static Image
n4BiasFieldCorrection
(Image image) static Image
n4BiasFieldCorrection
(Image image, double convergenceThreshold) static Image
n4BiasFieldCorrection
(Image image, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations) static Image
n4BiasFieldCorrection
(Image image, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum) static Image
n4BiasFieldCorrection
(Image image, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum, double wienerFilterNoise) static Image
n4BiasFieldCorrection
(Image image, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum, double wienerFilterNoise, long numberOfHistogramBins) static Image
n4BiasFieldCorrection
(Image image, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum, double wienerFilterNoise, long numberOfHistogramBins, VectorUInt32 numberOfControlPoints) static Image
n4BiasFieldCorrection
(Image image, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum, double wienerFilterNoise, long numberOfHistogramBins, VectorUInt32 numberOfControlPoints, long splineOrder) static Image
n4BiasFieldCorrection
(Image image, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum, double wienerFilterNoise, long numberOfHistogramBins, VectorUInt32 numberOfControlPoints, long splineOrder, boolean useMaskLabel) static Image
n4BiasFieldCorrection
(Image image, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum, double wienerFilterNoise, long numberOfHistogramBins, VectorUInt32 numberOfControlPoints, long splineOrder, boolean useMaskLabel, short maskLabel) static Image
n4BiasFieldCorrection
(Image image, Image maskImage) static Image
n4BiasFieldCorrection
(Image image, Image maskImage, double convergenceThreshold) static Image
n4BiasFieldCorrection
(Image image, Image maskImage, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations) static Image
n4BiasFieldCorrection
(Image image, Image maskImage, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum) static Image
n4BiasFieldCorrection
(Image image, Image maskImage, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum, double wienerFilterNoise) static Image
n4BiasFieldCorrection
(Image image, Image maskImage, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum, double wienerFilterNoise, long numberOfHistogramBins) static Image
n4BiasFieldCorrection
(Image image, Image maskImage, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum, double wienerFilterNoise, long numberOfHistogramBins, VectorUInt32 numberOfControlPoints) static Image
n4BiasFieldCorrection
(Image image, Image maskImage, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum, double wienerFilterNoise, long numberOfHistogramBins, VectorUInt32 numberOfControlPoints, long splineOrder) static Image
n4BiasFieldCorrection
(Image image, Image maskImage, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum, double wienerFilterNoise, long numberOfHistogramBins, VectorUInt32 numberOfControlPoints, long splineOrder, boolean useMaskLabel) static Image
n4BiasFieldCorrection
(Image image, Image maskImage, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum, double wienerFilterNoise, long numberOfHistogramBins, VectorUInt32 numberOfControlPoints, long splineOrder, boolean useMaskLabel, short maskLabel) static Image
static Image
static Image
static Image
static Image
static Image
naryAdd
(VectorOfImage images) static Image
naryMaximum
(Image image1) static Image
naryMaximum
(Image image1, Image image2) static Image
naryMaximum
(Image image1, Image image2, Image image3) static Image
naryMaximum
(Image image1, Image image2, Image image3, Image image4) static Image
static Image
naryMaximum
(VectorOfImage images) static Image
neighborhoodConnected
(Image image1) static Image
neighborhoodConnected
(Image image1, VectorUIntList seedList) static Image
neighborhoodConnected
(Image image1, VectorUIntList seedList, double lower) static Image
neighborhoodConnected
(Image image1, VectorUIntList seedList, double lower, double upper) static Image
neighborhoodConnected
(Image image1, VectorUIntList seedList, double lower, double upper, VectorUInt32 radius) static Image
neighborhoodConnected
(Image image1, VectorUIntList seedList, double lower, double upper, VectorUInt32 radius, double replaceValue) static Image
static Image
noise
(Image image1, VectorUInt32 radius) static Image
static Image
normalizedCorrelation
(Image image, Image maskImage, Image templateImage) static Image
normalizeToConstant
(Image image1) static Image
normalizeToConstant
(Image image1, double constant) static Image
static Image
Image itk::simple::NotEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
Image itk::simple::NotEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
Image itk::simple::NotEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
Image itk::simple::NotEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
Image itk::simple::NotEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
Image itk::simple::NotEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
Image itk::simple::NotEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
Image itk::simple::NotEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
Image itk::simple::NotEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static Image
objectnessMeasure
(Image image1) static Image
objectnessMeasure
(Image image1, double alpha) static Image
objectnessMeasure
(Image image1, double alpha, double beta) static Image
objectnessMeasure
(Image image1, double alpha, double beta, double gamma) static Image
objectnessMeasure
(Image image1, double alpha, double beta, double gamma, boolean scaleObjectnessMeasure) static Image
objectnessMeasure
(Image image1, double alpha, double beta, double gamma, boolean scaleObjectnessMeasure, long objectDimension) static Image
objectnessMeasure
(Image image1, double alpha, double beta, double gamma, boolean scaleObjectnessMeasure, long objectDimension, boolean brightObject) static Image
openingByReconstruction
(Image image1) static Image
openingByReconstruction
(Image image1, VectorUInt32 kernelRadius) static Image
openingByReconstruction
(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) static Image
openingByReconstruction
(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, boolean fullyConnected) static Image
openingByReconstruction
(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, boolean fullyConnected, boolean preserveIntensities) static Image
Image itk::simple::Or(int constant, const Image &image2)static Image
Image itk::simple::Or(int constant, const Image &image2)static Image
Image itk::simple::Or(int constant, const Image &image2)static Image
otsuMultipleThresholds
(Image image1) static Image
otsuMultipleThresholds
(Image image1, short numberOfThresholds) static Image
otsuMultipleThresholds
(Image image1, short numberOfThresholds, short labelOffset) static Image
otsuMultipleThresholds
(Image image1, short numberOfThresholds, short labelOffset, long numberOfHistogramBins) static Image
otsuMultipleThresholds
(Image image1, short numberOfThresholds, short labelOffset, long numberOfHistogramBins, boolean valleyEmphasis) static Image
otsuMultipleThresholds
(Image image1, short numberOfThresholds, short labelOffset, long numberOfHistogramBins, boolean valleyEmphasis, boolean returnBinMidpoint) static Image
otsuThreshold
(Image image) static Image
otsuThreshold
(Image image, short insideValue) static Image
otsuThreshold
(Image image, short insideValue, short outsideValue) static Image
otsuThreshold
(Image image, short insideValue, short outsideValue, long numberOfHistogramBins) static Image
otsuThreshold
(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput) static Image
otsuThreshold
(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue) static Image
otsuThreshold
(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue, boolean returnBinMidpoint) static Image
otsuThreshold
(Image image, Image maskImage) static Image
otsuThreshold
(Image image, Image maskImage, short insideValue) static Image
otsuThreshold
(Image image, Image maskImage, short insideValue, short outsideValue) static Image
otsuThreshold
(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins) static Image
otsuThreshold
(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput) static Image
otsuThreshold
(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue) static Image
otsuThreshold
(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue, boolean returnBinMidpoint) static Image
static Image
paste
(Image destinationImage, Image sourceImage, VectorUInt32 sourceSize) static Image
paste
(Image destinationImage, Image sourceImage, VectorUInt32 sourceSize, VectorInt32 sourceIndex) static Image
paste
(Image destinationImage, Image sourceImage, VectorUInt32 sourceSize, VectorInt32 sourceIndex, VectorInt32 destinationIndex) static Image
paste
(Image destinationImage, Image sourceImage, VectorUInt32 sourceSize, VectorInt32 sourceIndex, VectorInt32 destinationIndex, VectorBool DestinationSkipAxes) static Image
patchBasedDenoising
(Image image1) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interfacestatic Image
patchBasedDenoising
(Image image1, double kernelBandwidthSigma) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interfacestatic Image
patchBasedDenoising
(Image image1, double kernelBandwidthSigma, long patchRadius) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interfacestatic Image
patchBasedDenoising
(Image image1, double kernelBandwidthSigma, long patchRadius, long numberOfIterations) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interfacestatic Image
patchBasedDenoising
(Image image1, double kernelBandwidthSigma, long patchRadius, long numberOfIterations, long numberOfSamplePatches) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interfacestatic Image
patchBasedDenoising
(Image image1, double kernelBandwidthSigma, long patchRadius, long numberOfIterations, long numberOfSamplePatches, double sampleVariance) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interfacestatic Image
patchBasedDenoising
(Image image1, PatchBasedDenoisingImageFilter.NoiseModelType noiseModel) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interfacestatic Image
patchBasedDenoising
(Image image1, PatchBasedDenoisingImageFilter.NoiseModelType noiseModel, double kernelBandwidthSigma) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interfacestatic Image
patchBasedDenoising
(Image image1, PatchBasedDenoisingImageFilter.NoiseModelType noiseModel, double kernelBandwidthSigma, long patchRadius) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interfacestatic Image
patchBasedDenoising
(Image image1, PatchBasedDenoisingImageFilter.NoiseModelType noiseModel, double kernelBandwidthSigma, long patchRadius, long numberOfIterations) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interfacestatic Image
patchBasedDenoising
(Image image1, PatchBasedDenoisingImageFilter.NoiseModelType noiseModel, double kernelBandwidthSigma, long patchRadius, long numberOfIterations, long numberOfSamplePatches) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interfacestatic Image
patchBasedDenoising
(Image image1, PatchBasedDenoisingImageFilter.NoiseModelType noiseModel, double kernelBandwidthSigma, long patchRadius, long numberOfIterations, long numberOfSamplePatches, double sampleVariance) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interfacestatic Image
patchBasedDenoising
(Image image1, PatchBasedDenoisingImageFilter.NoiseModelType noiseModel, double kernelBandwidthSigma, long patchRadius, long numberOfIterations, long numberOfSamplePatches, double sampleVariance, double noiseSigma) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interfacestatic Image
patchBasedDenoising
(Image image1, PatchBasedDenoisingImageFilter.NoiseModelType noiseModel, double kernelBandwidthSigma, long patchRadius, long numberOfIterations, long numberOfSamplePatches, double sampleVariance, double noiseSigma, double noiseModelFidelityWeight) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interfacestatic Image
permuteAxes
(Image image1) static Image
permuteAxes
(Image image1, VectorUInt32 order) static Image
Image itk::simple::PhysicalPointSource(PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an image of the physical locations of each pixel.static Image
physicalPointSource
(PixelIDValueEnum outputPixelType) Image itk::simple::PhysicalPointSource(PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an image of the physical locations of each pixel.static Image
physicalPointSource
(PixelIDValueEnum outputPixelType, VectorUInt32 size) Image itk::simple::PhysicalPointSource(PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an image of the physical locations of each pixel.static Image
physicalPointSource
(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble origin) Image itk::simple::PhysicalPointSource(PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an image of the physical locations of each pixel.static Image
physicalPointSource
(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble origin, VectorDouble spacing) Image itk::simple::PhysicalPointSource(PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an image of the physical locations of each pixel.static Image
physicalPointSource
(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble origin, VectorDouble spacing, VectorDouble direction) Image itk::simple::PhysicalPointSource(PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an image of the physical locations of each pixel.static Image
Image itk::simple::Pow(Image &&image1, double constant)static Image
Image itk::simple::Pow(Image &&image1, double constant)static Image
Image itk::simple::Pow(Image &&image1, double constant)static Image
projectedLandweberDeconvolution
(Image image1, Image image2) static Image
projectedLandweberDeconvolution
(Image image1, Image image2, double alpha) static Image
projectedLandweberDeconvolution
(Image image1, Image image2, double alpha, int numberOfIterations) static Image
projectedLandweberDeconvolution
(Image image1, Image image2, double alpha, int numberOfIterations, boolean normalize) static Image
projectedLandweberDeconvolution
(Image image1, Image image2, double alpha, int numberOfIterations, boolean normalize, ProjectedLandweberDeconvolutionImageFilter.BoundaryConditionType boundaryCondition) static Image
projectedLandweberDeconvolution
(Image image1, Image image2, double alpha, int numberOfIterations, boolean normalize, ProjectedLandweberDeconvolutionImageFilter.BoundaryConditionType boundaryCondition, ProjectedLandweberDeconvolutionImageFilter.OutputRegionModeType outputRegionMode) static Image
static Image
static Image
rank
(Image image1, double rank, VectorUInt32 radius) static Image
rank
(Image image1, double rank, VectorUInt32 radius, KernelEnum kernelType) static Image
SITKIO_EXPORT Image itk::simple::ReadImage(const std::vector< std::string > &fileNames, PixelIDValueEnum outputPixelType=sitkUnknown, const std::string &imageIO="") ReadImage is a procedural interface to the ImageSeriesReader class which is convenient for most image reading tasks.static Image
readImage
(String filename, PixelIDValueEnum outputPixelType) SITKIO_EXPORT Image itk::simple::ReadImage(const std::vector< std::string > &fileNames, PixelIDValueEnum outputPixelType=sitkUnknown, const std::string &imageIO="") ReadImage is a procedural interface to the ImageSeriesReader class which is convenient for most image reading tasks.static Image
readImage
(String filename, PixelIDValueEnum outputPixelType, String imageIO) SITKIO_EXPORT Image itk::simple::ReadImage(const std::vector< std::string > &fileNames, PixelIDValueEnum outputPixelType=sitkUnknown, const std::string &imageIO="") ReadImage is a procedural interface to the ImageSeriesReader class which is convenient for most image reading tasks.static Image
readImage
(VectorString fileNames) SITKIO_EXPORT Image itk::simple::ReadImage(const std::vector< std::string > &fileNames, PixelIDValueEnum outputPixelType=sitkUnknown, const std::string &imageIO="") ReadImage is a procedural interface to the ImageSeriesReader class which is convenient for most image reading tasks.static Image
readImage
(VectorString fileNames, PixelIDValueEnum outputPixelType) SITKIO_EXPORT Image itk::simple::ReadImage(const std::vector< std::string > &fileNames, PixelIDValueEnum outputPixelType=sitkUnknown, const std::string &imageIO="") ReadImage is a procedural interface to the ImageSeriesReader class which is convenient for most image reading tasks.static Image
readImage
(VectorString fileNames, PixelIDValueEnum outputPixelType, String imageIO) SITKIO_EXPORT Image itk::simple::ReadImage(const std::vector< std::string > &fileNames, PixelIDValueEnum outputPixelType=sitkUnknown, const std::string &imageIO="") ReadImage is a procedural interface to the ImageSeriesReader class which is convenient for most image reading tasks.static Transform
readTransform
(String filename) SITKCommon_EXPORT Transform itk::simple::ReadTransform(const std::string &filename)static Image
realAndImaginaryToComplex
(Image image1, Image image2) static Image
realToHalfHermitianForwardFFT
(Image image1) static Image
reconstructionByDilation
(Image markerImage, Image maskImage) static Image
reconstructionByDilation
(Image markerImage, Image maskImage, boolean fullyConnected) static Image
reconstructionByDilation
(Image markerImage, Image maskImage, boolean fullyConnected, boolean useInternalCopy) static Image
reconstructionByErosion
(Image markerImage, Image maskImage) static Image
reconstructionByErosion
(Image markerImage, Image maskImage, boolean fullyConnected) static Image
reconstructionByErosion
(Image markerImage, Image maskImage, boolean fullyConnected, boolean useInternalCopy) static Image
recursiveGaussian
(Image image1) static Image
recursiveGaussian
(Image image1, double sigma) static Image
recursiveGaussian
(Image image1, double sigma, boolean normalizeAcrossScale) static Image
recursiveGaussian
(Image image1, double sigma, boolean normalizeAcrossScale, RecursiveGaussianImageFilter.OrderType order) static Image
recursiveGaussian
(Image image1, double sigma, boolean normalizeAcrossScale, RecursiveGaussianImageFilter.OrderType order, long direction) static Image
regionalMaxima
(Image image1) static Image
regionalMaxima
(Image image1, double backgroundValue) static Image
regionalMaxima
(Image image1, double backgroundValue, double foregroundValue) static Image
regionalMaxima
(Image image1, double backgroundValue, double foregroundValue, boolean fullyConnected) static Image
regionalMaxima
(Image image1, double backgroundValue, double foregroundValue, boolean fullyConnected, boolean flatIsMaxima) static Image
regionalMinima
(Image image1) static Image
regionalMinima
(Image image1, double backgroundValue) static Image
regionalMinima
(Image image1, double backgroundValue, double foregroundValue) static Image
regionalMinima
(Image image1, double backgroundValue, double foregroundValue, boolean fullyConnected) static Image
regionalMinima
(Image image1, double backgroundValue, double foregroundValue, boolean fullyConnected, boolean flatIsMinima) static Image
regionOfInterest
(Image image1) static Image
regionOfInterest
(Image image1, VectorUInt32 size) static Image
regionOfInterest
(Image image1, VectorUInt32 size, VectorInt32 index) static Image
relabelComponent
(Image image1) static Image
relabelComponent
(Image image1, long minimumObjectSize) static Image
relabelComponent
(Image image1, long minimumObjectSize, boolean sortByObjectSize) static Image
relabelLabelMap
(Image image1) static Image
relabelLabelMap
(Image image1, boolean reverseOrdering) static Image
renyiEntropyThreshold
(Image image) static Image
renyiEntropyThreshold
(Image image, short insideValue) static Image
renyiEntropyThreshold
(Image image, short insideValue, short outsideValue) static Image
renyiEntropyThreshold
(Image image, short insideValue, short outsideValue, long numberOfHistogramBins) static Image
renyiEntropyThreshold
(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput) static Image
renyiEntropyThreshold
(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue) static Image
renyiEntropyThreshold
(Image image, Image maskImage) static Image
renyiEntropyThreshold
(Image image, Image maskImage, short insideValue) static Image
renyiEntropyThreshold
(Image image, Image maskImage, short insideValue, short outsideValue) static Image
renyiEntropyThreshold
(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins) static Image
renyiEntropyThreshold
(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput) static Image
renyiEntropyThreshold
(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue) static Image
static Image
static Image
static Image
resample
(Image image1, Image referenceImage, Transform transform, InterpolatorEnum interpolator) static Image
resample
(Image image1, Image referenceImage, Transform transform, InterpolatorEnum interpolator, double defaultPixelValue) static Image
resample
(Image image1, Image referenceImage, Transform transform, InterpolatorEnum interpolator, double defaultPixelValue, PixelIDValueEnum outputPixelType) static Image
resample
(Image image1, Image referenceImage, Transform transform, InterpolatorEnum interpolator, double defaultPixelValue, PixelIDValueEnum outputPixelType, boolean useNearestNeighborExtrapolator) static Image
static Image
resample
(Image image1, Transform transform, InterpolatorEnum interpolator) static Image
resample
(Image image1, Transform transform, InterpolatorEnum interpolator, double defaultPixelValue) static Image
resample
(Image image1, Transform transform, InterpolatorEnum interpolator, double defaultPixelValue, PixelIDValueEnum outputPixelType) static Image
resample
(Image image1, Transform transform, InterpolatorEnum interpolator, double defaultPixelValue, PixelIDValueEnum outputPixelType, boolean useNearestNeighborExtrapolator) static Image
resample
(Image image1, VectorUInt32 size) static Image
resample
(Image image1, VectorUInt32 size, Transform transform) static Image
resample
(Image image1, VectorUInt32 size, Transform transform, InterpolatorEnum interpolator) static Image
resample
(Image image1, VectorUInt32 size, Transform transform, InterpolatorEnum interpolator, VectorDouble outputOrigin) static Image
resample
(Image image1, VectorUInt32 size, Transform transform, InterpolatorEnum interpolator, VectorDouble outputOrigin, VectorDouble outputSpacing) static Image
resample
(Image image1, VectorUInt32 size, Transform transform, InterpolatorEnum interpolator, VectorDouble outputOrigin, VectorDouble outputSpacing, VectorDouble outputDirection) static Image
resample
(Image image1, VectorUInt32 size, Transform transform, InterpolatorEnum interpolator, VectorDouble outputOrigin, VectorDouble outputSpacing, VectorDouble outputDirection, double defaultPixelValue) static Image
resample
(Image image1, VectorUInt32 size, Transform transform, InterpolatorEnum interpolator, VectorDouble outputOrigin, VectorDouble outputSpacing, VectorDouble outputDirection, double defaultPixelValue, PixelIDValueEnum outputPixelType) static Image
resample
(Image image1, VectorUInt32 size, Transform transform, InterpolatorEnum interpolator, VectorDouble outputOrigin, VectorDouble outputSpacing, VectorDouble outputDirection, double defaultPixelValue, PixelIDValueEnum outputPixelType, boolean useNearestNeighborExtrapolator) static Image
rescaleIntensity
(Image image1) static Image
rescaleIntensity
(Image image1, double outputMinimum) static Image
rescaleIntensity
(Image image1, double outputMinimum, double outputMaximum) static Image
richardsonLucyDeconvolution
(Image image1, Image image2) static Image
richardsonLucyDeconvolution
(Image image1, Image image2, int numberOfIterations) static Image
richardsonLucyDeconvolution
(Image image1, Image image2, int numberOfIterations, boolean normalize) static Image
richardsonLucyDeconvolution
(Image image1, Image image2, int numberOfIterations, boolean normalize, RichardsonLucyDeconvolutionImageFilter.BoundaryConditionType boundaryCondition) static Image
richardsonLucyDeconvolution
(Image image1, Image image2, int numberOfIterations, boolean normalize, RichardsonLucyDeconvolutionImageFilter.BoundaryConditionType boundaryCondition, RichardsonLucyDeconvolutionImageFilter.OutputRegionModeType outputRegionMode) static Image
static Image
saltAndPepperNoise
(Image image1) static Image
saltAndPepperNoise
(Image image1, double probability) static Image
saltAndPepperNoise
(Image image1, double probability, long seed) static Image
scalarChanAndVeseDenseLevelSet
(Image initialImage, Image featureImage) static Image
scalarChanAndVeseDenseLevelSet
(Image initialImage, Image featureImage, double maximumRMSError) static Image
scalarChanAndVeseDenseLevelSet
(Image initialImage, Image featureImage, double maximumRMSError, long numberOfIterations) static Image
scalarChanAndVeseDenseLevelSet
(Image initialImage, Image featureImage, double maximumRMSError, long numberOfIterations, double lambda1) static Image
scalarChanAndVeseDenseLevelSet
(Image initialImage, Image featureImage, double maximumRMSError, long numberOfIterations, double lambda1, double lambda2) static Image
scalarChanAndVeseDenseLevelSet
(Image initialImage, Image featureImage, double maximumRMSError, long numberOfIterations, double lambda1, double lambda2, double epsilon) static Image
scalarChanAndVeseDenseLevelSet
(Image initialImage, Image featureImage, double maximumRMSError, long numberOfIterations, double lambda1, double lambda2, double epsilon, double curvatureWeight) static Image
scalarChanAndVeseDenseLevelSet
(Image initialImage, Image featureImage, double maximumRMSError, long numberOfIterations, double lambda1, double lambda2, double epsilon, double curvatureWeight, double areaWeight) static Image
scalarChanAndVeseDenseLevelSet
(Image initialImage, Image featureImage, double maximumRMSError, long numberOfIterations, double lambda1, double lambda2, double epsilon, double curvatureWeight, double areaWeight, double reinitializationSmoothingWeight) static Image
scalarChanAndVeseDenseLevelSet
(Image initialImage, Image featureImage, double maximumRMSError, long numberOfIterations, double lambda1, double lambda2, double epsilon, double curvatureWeight, double areaWeight, double reinitializationSmoothingWeight, double volume) static Image
scalarChanAndVeseDenseLevelSet
(Image initialImage, Image featureImage, double maximumRMSError, long numberOfIterations, double lambda1, double lambda2, double epsilon, double curvatureWeight, double areaWeight, double reinitializationSmoothingWeight, double volume, double volumeMatchingWeight) static Image
scalarChanAndVeseDenseLevelSet
(Image initialImage, Image featureImage, double maximumRMSError, long numberOfIterations, double lambda1, double lambda2, double epsilon, double curvatureWeight, double areaWeight, double reinitializationSmoothingWeight, double volume, double volumeMatchingWeight, ScalarChanAndVeseDenseLevelSetImageFilter.HeavisideStepFunctionType heavisideStepFunction) static Image
scalarChanAndVeseDenseLevelSet
(Image initialImage, Image featureImage, double maximumRMSError, long numberOfIterations, double lambda1, double lambda2, double epsilon, double curvatureWeight, double areaWeight, double reinitializationSmoothingWeight, double volume, double volumeMatchingWeight, ScalarChanAndVeseDenseLevelSetImageFilter.HeavisideStepFunctionType heavisideStepFunction, boolean useImageSpacing) static Image
scalarConnectedComponent
(Image image) static Image
scalarConnectedComponent
(Image image, double distanceThreshold) static Image
scalarConnectedComponent
(Image image, double distanceThreshold, boolean fullyConnected) static Image
scalarConnectedComponent
(Image image, Image maskImage) static Image
scalarConnectedComponent
(Image image, Image maskImage, double distanceThreshold) static Image
scalarConnectedComponent
(Image image, Image maskImage, double distanceThreshold, boolean fullyConnected) static Image
scalarImageKmeans
(Image image1) static Image
scalarImageKmeans
(Image image1, VectorDouble classWithInitialMean) static Image
scalarImageKmeans
(Image image1, VectorDouble classWithInitialMean, boolean useNonContiguousLabels) static Image
scalarToRGBColormap
(Image image1) static Image
scalarToRGBColormap
(Image image1, ScalarToRGBColormapImageFilter.ColormapType colormap) static Image
scalarToRGBColormap
(Image image1, ScalarToRGBColormapImageFilter.ColormapType colormap, boolean useInputImageExtremaForScaling) static Image
shanbhagThreshold
(Image image) static Image
shanbhagThreshold
(Image image, short insideValue) static Image
shanbhagThreshold
(Image image, short insideValue, short outsideValue) static Image
shanbhagThreshold
(Image image, short insideValue, short outsideValue, long numberOfHistogramBins) static Image
shanbhagThreshold
(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput) static Image
shanbhagThreshold
(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue) static Image
shanbhagThreshold
(Image image, Image maskImage) static Image
shanbhagThreshold
(Image image, Image maskImage, short insideValue) static Image
shanbhagThreshold
(Image image, Image maskImage, short insideValue, short outsideValue) static Image
shanbhagThreshold
(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins) static Image
shanbhagThreshold
(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput) static Image
shanbhagThreshold
(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue) static Image
shapeDetectionLevelSet
(Image initialImage, Image featureImage) static Image
shapeDetectionLevelSet
(Image initialImage, Image featureImage, double maximumRMSError) static Image
shapeDetectionLevelSet
(Image initialImage, Image featureImage, double maximumRMSError, double propagationScaling) static Image
shapeDetectionLevelSet
(Image initialImage, Image featureImage, double maximumRMSError, double propagationScaling, double curvatureScaling) static Image
shapeDetectionLevelSet
(Image initialImage, Image featureImage, double maximumRMSError, double propagationScaling, double curvatureScaling, long numberOfIterations) static Image
shapeDetectionLevelSet
(Image initialImage, Image featureImage, double maximumRMSError, double propagationScaling, double curvatureScaling, long numberOfIterations, boolean reverseExpansionDirection) static Image
shiftScale
(Image image1) static Image
shiftScale
(Image image1, double shift) static Image
shiftScale
(Image image1, double shift, double scale) static Image
shiftScale
(Image image1, double shift, double scale, PixelIDValueEnum outputPixelType) static Image
static Image
static Image
static void
void SITKIO_EXPORT itk::simple::Show(const Image &image, const std::string &title="", const bool debugOn=ProcessObject::GetGlobalDefaultDebug()) Display an image in an external viewer (Fiji by default) This function directly calls the execute method of ImageViewer in order to support a procedural APIstatic void
void SITKIO_EXPORT itk::simple::Show(const Image &image, const std::string &title="", const bool debugOn=ProcessObject::GetGlobalDefaultDebug()) Display an image in an external viewer (Fiji by default) This function directly calls the execute method of ImageViewer in order to support a procedural APIstatic void
void SITKIO_EXPORT itk::simple::Show(const Image &image, const std::string &title="", const bool debugOn=ProcessObject::GetGlobalDefaultDebug()) Display an image in an external viewer (Fiji by default) This function directly calls the execute method of ImageViewer in order to support a procedural APIstatic Image
static Image
shrink
(Image image1, VectorUInt32 shrinkFactors) static Image
static Image
static Image
static Image
static Image
static Image
signedDanielssonDistanceMap
(Image image1) static Image
signedDanielssonDistanceMap
(Image image1, boolean insideIsPositive) static Image
signedDanielssonDistanceMap
(Image image1, boolean insideIsPositive, boolean squaredDistance) static Image
signedDanielssonDistanceMap
(Image image1, boolean insideIsPositive, boolean squaredDistance, boolean useImageSpacing) static Image
signedMaurerDistanceMap
(Image image1) static Image
signedMaurerDistanceMap
(Image image1, boolean insideIsPositive) static Image
signedMaurerDistanceMap
(Image image1, boolean insideIsPositive, boolean squaredDistance) static Image
signedMaurerDistanceMap
(Image image1, boolean insideIsPositive, boolean squaredDistance, boolean useImageSpacing) static Image
signedMaurerDistanceMap
(Image image1, boolean insideIsPositive, boolean squaredDistance, boolean useImageSpacing, double backgroundValue) static Image
simpleContourExtractor
(Image image1) static Image
simpleContourExtractor
(Image image1, double inputForegroundValue) static Image
simpleContourExtractor
(Image image1, double inputForegroundValue, double inputBackgroundValue) static Image
simpleContourExtractor
(Image image1, double inputForegroundValue, double inputBackgroundValue, VectorUInt32 radius) static Image
simpleContourExtractor
(Image image1, double inputForegroundValue, double inputBackgroundValue, VectorUInt32 radius, double outputForegroundValue) static Image
simpleContourExtractor
(Image image1, double inputForegroundValue, double inputBackgroundValue, VectorUInt32 radius, double outputForegroundValue, double outputBackgroundValue) static Image
static Image
static Image
sLIC
(Image image1, VectorUInt32 superGridSize) static Image
sLIC
(Image image1, VectorUInt32 superGridSize, double spatialProximityWeight) static Image
sLIC
(Image image1, VectorUInt32 superGridSize, double spatialProximityWeight, long maximumNumberOfIterations) static Image
sLIC
(Image image1, VectorUInt32 superGridSize, double spatialProximityWeight, long maximumNumberOfIterations, boolean enforceConnectivity) static Image
sLIC
(Image image1, VectorUInt32 superGridSize, double spatialProximityWeight, long maximumNumberOfIterations, boolean enforceConnectivity, boolean initializationPerturbation) static Image
static Image
slice
(Image image1, VectorInt32 start) static Image
slice
(Image image1, VectorInt32 start, VectorInt32 stop) static Image
slice
(Image image1, VectorInt32 start, VectorInt32 stop, VectorInt32 step) static Image
smoothingRecursiveGaussian
(Image image1) Image itk::simple::SmoothingRecursiveGaussian(const Image &image1, double sigma, bool normalizeAcrossScale=false) Computes the smoothing of an image by convolution with the Gaussian kernels implemented as IIR filters.static Image
smoothingRecursiveGaussian
(Image image1, double sigma) Image itk::simple::SmoothingRecursiveGaussian(const Image &image1, double sigma, bool normalizeAcrossScale=false) Computes the smoothing of an image by convolution with the Gaussian kernels implemented as IIR filters.static Image
smoothingRecursiveGaussian
(Image image1, double sigma, boolean normalizeAcrossScale) Image itk::simple::SmoothingRecursiveGaussian(const Image &image1, double sigma, bool normalizeAcrossScale=false) Computes the smoothing of an image by convolution with the Gaussian kernels implemented as IIR filters.static Image
smoothingRecursiveGaussian
(Image image1, VectorDouble sigma) Image itk::simple::SmoothingRecursiveGaussian(const Image &image1, double sigma, bool normalizeAcrossScale=false) Computes the smoothing of an image by convolution with the Gaussian kernels implemented as IIR filters.static Image
smoothingRecursiveGaussian
(Image image1, VectorDouble sigma, boolean normalizeAcrossScale) Image itk::simple::SmoothingRecursiveGaussian(const Image &image1, double sigma, bool normalizeAcrossScale=false) Computes the smoothing of an image by convolution with the Gaussian kernels implemented as IIR filters.static Image
sobelEdgeDetection
(Image image1) static Image
speckleNoise
(Image image1) static Image
speckleNoise
(Image image1, double standardDeviation) static Image
speckleNoise
(Image image1, double standardDeviation, long seed) static Image
static Image
static Image
squaredDifference
(double constant, Image image2) Image itk::simple::SquaredDifference(Image &&image1, double constant)static Image
squaredDifference
(Image image1, double constant) Image itk::simple::SquaredDifference(Image &&image1, double constant)static Image
squaredDifference
(Image image1, Image image2) Image itk::simple::SquaredDifference(Image &&image1, double constant)static Image
standardDeviationProjection
(Image image1) static Image
standardDeviationProjection
(Image image1, long projectionDimension) static Image
static Image
static Image
static Image
static Image
static Image
static Image
static Image
sTAPLE
(Image image1, Image image2, double confidenceWeight, double foregroundValue, long maximumIterations) static Image
static Image
static Image
static Image
sTAPLE
(Image image1, Image image2, Image image3, double confidenceWeight, double foregroundValue, long maximumIterations) static Image
static Image
static Image
sTAPLE
(Image image1, Image image2, Image image3, Image image4, double confidenceWeight, double foregroundValue) static Image
sTAPLE
(Image image1, Image image2, Image image3, Image image4, double confidenceWeight, double foregroundValue, long maximumIterations) static Image
static Image
sTAPLE
(Image image1, Image image2, Image image3, Image image4, Image image5, double confidenceWeight) static Image
sTAPLE
(Image image1, Image image2, Image image3, Image image4, Image image5, double confidenceWeight, double foregroundValue) static Image
sTAPLE
(Image image1, Image image2, Image image3, Image image4, Image image5, double confidenceWeight, double foregroundValue, long maximumIterations) static Image
sTAPLE
(VectorOfImage images) static Image
sTAPLE
(VectorOfImage images, double confidenceWeight) static Image
sTAPLE
(VectorOfImage images, double confidenceWeight, double foregroundValue) static Image
sTAPLE
(VectorOfImage images, double confidenceWeight, double foregroundValue, long maximumIterations) static Image
stochasticFractalDimension
(Image image) static Image
stochasticFractalDimension
(Image image, Image maskImage) static Image
stochasticFractalDimension
(Image image, Image maskImage, VectorUInt32 neighborhoodRadius) static Image
stochasticFractalDimension
(Image image, VectorUInt32 neighborhoodRadius) static Image
Image itk::simple::Subtract(Image &&image1, double constant)static Image
Image itk::simple::Subtract(Image &&image1, double constant)static Image
Image itk::simple::Subtract(Image &&image1, double constant)static Image
sumProjection
(Image image1) static Image
sumProjection
(Image image1, long projectionDimension) static Image
static Image
ternaryAdd
(Image image1, Image image2, Image image3) static Image
ternaryMagnitude
(Image image1, Image image2, Image image3) static Image
ternaryMagnitudeSquared
(Image image1, Image image2, Image image3) static Image
static Image
static Image
static Image
static Image
static Image
thresholdMaximumConnectedComponents
(Image image1, long minimumObjectSizeInPixels) static Image
thresholdMaximumConnectedComponents
(Image image1, long minimumObjectSizeInPixels, double upperBoundary) static Image
thresholdMaximumConnectedComponents
(Image image1, long minimumObjectSizeInPixels, double upperBoundary, short insideValue) static Image
thresholdMaximumConnectedComponents
(Image image1, long minimumObjectSizeInPixels, double upperBoundary, short insideValue, short outsideValue) static Image
thresholdSegmentationLevelSet
(Image initialImage, Image featureImage) static Image
thresholdSegmentationLevelSet
(Image initialImage, Image featureImage, double lowerThreshold) static Image
thresholdSegmentationLevelSet
(Image initialImage, Image featureImage, double lowerThreshold, double upperThreshold) static Image
thresholdSegmentationLevelSet
(Image initialImage, Image featureImage, double lowerThreshold, double upperThreshold, double maximumRMSError) static Image
thresholdSegmentationLevelSet
(Image initialImage, Image featureImage, double lowerThreshold, double upperThreshold, double maximumRMSError, double propagationScaling) static Image
thresholdSegmentationLevelSet
(Image initialImage, Image featureImage, double lowerThreshold, double upperThreshold, double maximumRMSError, double propagationScaling, double curvatureScaling) static Image
thresholdSegmentationLevelSet
(Image initialImage, Image featureImage, double lowerThreshold, double upperThreshold, double maximumRMSError, double propagationScaling, double curvatureScaling, long numberOfIterations) static Image
thresholdSegmentationLevelSet
(Image initialImage, Image featureImage, double lowerThreshold, double upperThreshold, double maximumRMSError, double propagationScaling, double curvatureScaling, long numberOfIterations, boolean reverseExpansionDirection) static Image
tikhonovDeconvolution
(Image image1, Image image2) static Image
tikhonovDeconvolution
(Image image1, Image image2, double regularizationConstant) static Image
tikhonovDeconvolution
(Image image1, Image image2, double regularizationConstant, boolean normalize) static Image
tikhonovDeconvolution
(Image image1, Image image2, double regularizationConstant, boolean normalize, TikhonovDeconvolutionImageFilter.BoundaryConditionType boundaryCondition) static Image
tikhonovDeconvolution
(Image image1, Image image2, double regularizationConstant, boolean normalize, TikhonovDeconvolutionImageFilter.BoundaryConditionType boundaryCondition, TikhonovDeconvolutionImageFilter.OutputRegionModeType outputRegionMode) static Image
static Image
static Image
static Image
static Image
static Image
static Image
tile
(Image image1, Image image2, Image image3, Image image4, Image image5, VectorUInt32 layout, double defaultPixelValue) static Image
static Image
tile
(Image image1, Image image2, Image image3, Image image4, VectorUInt32 layout, double defaultPixelValue) static Image
tile
(Image image1, Image image2, Image image3, VectorUInt32 layout) static Image
tile
(Image image1, Image image2, Image image3, VectorUInt32 layout, double defaultPixelValue) static Image
tile
(Image image1, Image image2, VectorUInt32 layout) static Image
tile
(Image image1, Image image2, VectorUInt32 layout, double defaultPixelValue) static Image
tile
(Image image1, VectorUInt32 layout) static Image
tile
(Image image1, VectorUInt32 layout, double defaultPixelValue) static Image
tile
(VectorOfImage images) static Image
tile
(VectorOfImage images, VectorUInt32 layout) static Image
tile
(VectorOfImage images, VectorUInt32 layout, double defaultPixelValue) static Image
static Image
transformGeometry
(Image image, Transform transform) static Image
transformToDisplacementField
(Transform transform) Image itk::simple::TransformToDisplacementField(const Transform &transform, PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat64, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > outputOrigin=std::vector< double >(3, 0.0), std::vector< double > outputSpacing=std::vector< double >(3, 1.0), std::vector< double > outputDirection=std::vector< double >()) Generate a displacement field from a coordinate transform.static Image
transformToDisplacementField
(Transform transform, PixelIDValueEnum outputPixelType) Image itk::simple::TransformToDisplacementField(const Transform &transform, PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat64, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > outputOrigin=std::vector< double >(3, 0.0), std::vector< double > outputSpacing=std::vector< double >(3, 1.0), std::vector< double > outputDirection=std::vector< double >()) Generate a displacement field from a coordinate transform.static Image
transformToDisplacementField
(Transform transform, PixelIDValueEnum outputPixelType, VectorUInt32 size) Image itk::simple::TransformToDisplacementField(const Transform &transform, PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat64, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > outputOrigin=std::vector< double >(3, 0.0), std::vector< double > outputSpacing=std::vector< double >(3, 1.0), std::vector< double > outputDirection=std::vector< double >()) Generate a displacement field from a coordinate transform.static Image
transformToDisplacementField
(Transform transform, PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble outputOrigin) Image itk::simple::TransformToDisplacementField(const Transform &transform, PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat64, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > outputOrigin=std::vector< double >(3, 0.0), std::vector< double > outputSpacing=std::vector< double >(3, 1.0), std::vector< double > outputDirection=std::vector< double >()) Generate a displacement field from a coordinate transform.static Image
transformToDisplacementField
(Transform transform, PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble outputOrigin, VectorDouble outputSpacing) Image itk::simple::TransformToDisplacementField(const Transform &transform, PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat64, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > outputOrigin=std::vector< double >(3, 0.0), std::vector< double > outputSpacing=std::vector< double >(3, 1.0), std::vector< double > outputDirection=std::vector< double >()) Generate a displacement field from a coordinate transform.static Image
transformToDisplacementField
(Transform transform, PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble outputOrigin, VectorDouble outputSpacing, VectorDouble outputDirection) Image itk::simple::TransformToDisplacementField(const Transform &transform, PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat64, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > outputOrigin=std::vector< double >(3, 0.0), std::vector< double > outputSpacing=std::vector< double >(3, 1.0), std::vector< double > outputDirection=std::vector< double >()) Generate a displacement field from a coordinate transform.static Image
triangleThreshold
(Image image) static Image
triangleThreshold
(Image image, short insideValue) static Image
triangleThreshold
(Image image, short insideValue, short outsideValue) static Image
triangleThreshold
(Image image, short insideValue, short outsideValue, long numberOfHistogramBins) static Image
triangleThreshold
(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput) static Image
triangleThreshold
(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue) static Image
triangleThreshold
(Image image, Image maskImage) static Image
triangleThreshold
(Image image, Image maskImage, short insideValue) static Image
triangleThreshold
(Image image, Image maskImage, short insideValue, short outsideValue) static Image
triangleThreshold
(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins) static Image
triangleThreshold
(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput) static Image
triangleThreshold
(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue) static Image
unaryMinus
(Image image1) static Image
unsharpMask
(Image image1) static Image
unsharpMask
(Image image1, VectorDouble sigmas) static Image
unsharpMask
(Image image1, VectorDouble sigmas, double amount) static Image
unsharpMask
(Image image1, VectorDouble sigmas, double amount, double threshold) static Image
unsharpMask
(Image image1, VectorDouble sigmas, double amount, double threshold, boolean clamp) static Image
valuedRegionalMaxima
(Image image1) static Image
valuedRegionalMaxima
(Image image1, boolean fullyConnected) static Image
valuedRegionalMinima
(Image image1) static Image
valuedRegionalMinima
(Image image1, boolean fullyConnected) static Image
vectorConfidenceConnected
(Image image1) static Image
vectorConfidenceConnected
(Image image1, VectorUIntList seedList) static Image
vectorConfidenceConnected
(Image image1, VectorUIntList seedList, long numberOfIterations) static Image
vectorConfidenceConnected
(Image image1, VectorUIntList seedList, long numberOfIterations, double multiplier) static Image
vectorConfidenceConnected
(Image image1, VectorUIntList seedList, long numberOfIterations, double multiplier, long initialNeighborhoodRadius) static Image
vectorConfidenceConnected
(Image image1, VectorUIntList seedList, long numberOfIterations, double multiplier, long initialNeighborhoodRadius, short replaceValue) static Image
vectorConnectedComponent
(Image image1) static Image
vectorConnectedComponent
(Image image1, double distanceThreshold) static Image
vectorConnectedComponent
(Image image1, double distanceThreshold, boolean fullyConnected) static Image
vectorIndexSelectionCast
(Image image1) static Image
vectorIndexSelectionCast
(Image image1, long index) static Image
vectorIndexSelectionCast
(Image image1, long index, PixelIDValueEnum outputPixelType) static Image
vectorMagnitude
(Image image1) static Image
votingBinary
(Image image1) static Image
votingBinary
(Image image1, VectorUInt32 radius) static Image
votingBinary
(Image image1, VectorUInt32 radius, long birthThreshold) static Image
votingBinary
(Image image1, VectorUInt32 radius, long birthThreshold, long survivalThreshold) static Image
votingBinary
(Image image1, VectorUInt32 radius, long birthThreshold, long survivalThreshold, double foregroundValue) static Image
votingBinary
(Image image1, VectorUInt32 radius, long birthThreshold, long survivalThreshold, double foregroundValue, double backgroundValue) static Image
votingBinaryHoleFilling
(Image image1) static Image
votingBinaryHoleFilling
(Image image1, VectorUInt32 radius) static Image
votingBinaryHoleFilling
(Image image1, VectorUInt32 radius, long majorityThreshold) static Image
votingBinaryHoleFilling
(Image image1, VectorUInt32 radius, long majorityThreshold, double foregroundValue) static Image
votingBinaryHoleFilling
(Image image1, VectorUInt32 radius, long majorityThreshold, double foregroundValue, double backgroundValue) static Image
static Image
votingBinaryIterativeHoleFilling
(Image image1, VectorUInt32 radius) static Image
votingBinaryIterativeHoleFilling
(Image image1, VectorUInt32 radius, long maximumNumberOfIterations) static Image
votingBinaryIterativeHoleFilling
(Image image1, VectorUInt32 radius, long maximumNumberOfIterations, long majorityThreshold) static Image
votingBinaryIterativeHoleFilling
(Image image1, VectorUInt32 radius, long maximumNumberOfIterations, long majorityThreshold, double foregroundValue) static Image
votingBinaryIterativeHoleFilling
(Image image1, VectorUInt32 radius, long maximumNumberOfIterations, long majorityThreshold, double foregroundValue, double backgroundValue) static Image
static Image
warp
(Image image, Image displacementField, InterpolatorEnum interpolator) static Image
warp
(Image image, Image displacementField, InterpolatorEnum interpolator, VectorUInt32 outputSize) static Image
warp
(Image image, Image displacementField, InterpolatorEnum interpolator, VectorUInt32 outputSize, VectorDouble outputOrigin) static Image
warp
(Image image, Image displacementField, InterpolatorEnum interpolator, VectorUInt32 outputSize, VectorDouble outputOrigin, VectorDouble outputSpacing) static Image
warp
(Image image, Image displacementField, InterpolatorEnum interpolator, VectorUInt32 outputSize, VectorDouble outputOrigin, VectorDouble outputSpacing, VectorDouble outputDirection) static Image
warp
(Image image, Image displacementField, InterpolatorEnum interpolator, VectorUInt32 outputSize, VectorDouble outputOrigin, VectorDouble outputSpacing, VectorDouble outputDirection, double edgePaddingValue) static Image
whiteTopHat
(Image image1) static Image
whiteTopHat
(Image image1, VectorUInt32 kernelRadius) static Image
whiteTopHat
(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) static Image
whiteTopHat
(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, boolean safeBorder) static Image
wienerDeconvolution
(Image image1, Image image2) static Image
wienerDeconvolution
(Image image1, Image image2, double noiseVariance) static Image
wienerDeconvolution
(Image image1, Image image2, double noiseVariance, boolean normalize) static Image
wienerDeconvolution
(Image image1, Image image2, double noiseVariance, boolean normalize, WienerDeconvolutionImageFilter.BoundaryConditionType boundaryCondition) static Image
wienerDeconvolution
(Image image1, Image image2, double noiseVariance, boolean normalize, WienerDeconvolutionImageFilter.BoundaryConditionType boundaryCondition, WienerDeconvolutionImageFilter.OutputRegionModeType outputRegionMode) static Image
static Image
wrapPad
(Image image1, VectorUInt32 padLowerBound) static Image
wrapPad
(Image image1, VectorUInt32 padLowerBound, VectorUInt32 padUpperBound) static void
writeImage
(Image image, String fileName) SITKIO_EXPORT void itk::simple::WriteImage(const Image &image, const std::vector< std::string > &fileNames, bool useCompression=false, int compressionLevel=-1) WriteImage is a procedural interface to the ImageSeriesWriter.static void
writeImage
(Image image, String fileName, boolean useCompression) SITKIO_EXPORT void itk::simple::WriteImage(const Image &image, const std::vector< std::string > &fileNames, bool useCompression=false, int compressionLevel=-1) WriteImage is a procedural interface to the ImageSeriesWriter.static void
writeImage
(Image image, String fileName, boolean useCompression, int compressionLevel) SITKIO_EXPORT void itk::simple::WriteImage(const Image &image, const std::vector< std::string > &fileNames, bool useCompression=false, int compressionLevel=-1) WriteImage is a procedural interface to the ImageSeriesWriter.static void
writeImage
(Image image, VectorString fileNames) SITKIO_EXPORT void itk::simple::WriteImage(const Image &image, const std::vector< std::string > &fileNames, bool useCompression=false, int compressionLevel=-1) WriteImage is a procedural interface to the ImageSeriesWriter.static void
writeImage
(Image image, VectorString fileNames, boolean useCompression) SITKIO_EXPORT void itk::simple::WriteImage(const Image &image, const std::vector< std::string > &fileNames, bool useCompression=false, int compressionLevel=-1) WriteImage is a procedural interface to the ImageSeriesWriter.static void
writeImage
(Image image, VectorString fileNames, boolean useCompression, int compressionLevel) SITKIO_EXPORT void itk::simple::WriteImage(const Image &image, const std::vector< std::string > &fileNames, bool useCompression=false, int compressionLevel=-1) WriteImage is a procedural interface to the ImageSeriesWriter.static void
writeTransform
(Transform transform, String filename) SITKCommon_EXPORT void itk::simple::WriteTransform(const Transform &transform, const std::string &filename)static Image
Image itk::simple::Xor(int constant, const Image &image2)static Image
Image itk::simple::Xor(int constant, const Image &image2)static Image
Image itk::simple::Xor(int constant, const Image &image2)static Image
yenThreshold
(Image image) static Image
yenThreshold
(Image image, short insideValue) static Image
yenThreshold
(Image image, short insideValue, short outsideValue) static Image
yenThreshold
(Image image, short insideValue, short outsideValue, long numberOfHistogramBins) static Image
yenThreshold
(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput) static Image
yenThreshold
(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue) static Image
yenThreshold
(Image image, Image maskImage) static Image
yenThreshold
(Image image, Image maskImage, short insideValue) static Image
yenThreshold
(Image image, Image maskImage, short insideValue, short outsideValue) static Image
yenThreshold
(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins) static Image
yenThreshold
(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput) static Image
yenThreshold
(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue) static Image
zeroCrossing
(Image image1) static Image
zeroCrossing
(Image image1, short foregroundValue) static Image
zeroCrossing
(Image image1, short foregroundValue, short backgroundValue) static Image
zeroCrossingBasedEdgeDetection
(Image image1) static Image
zeroCrossingBasedEdgeDetection
(Image image1, double variance) static Image
zeroCrossingBasedEdgeDetection
(Image image1, double variance, short foregroundValue) static Image
zeroCrossingBasedEdgeDetection
(Image image1, double variance, short foregroundValue, short backgroundValue) static Image
zeroCrossingBasedEdgeDetection
(Image image1, double variance, short foregroundValue, short backgroundValue, double maximumError) static Image
zeroFluxNeumannPad
(Image image1) static Image
zeroFluxNeumannPad
(Image image1, VectorUInt32 padLowerBound) static Image
zeroFluxNeumannPad
(Image image1, VectorUInt32 padLowerBound, VectorUInt32 padUpperBound)
-
Constructor Details
-
SimpleITK
public SimpleITK()
-
-
Method Details
-
getPixelIDValueAsString
const std::string SITKCommon_EXPORT itk::simple::GetPixelIDValueAsString(PixelIDValueType type) -
getPixelIDValueAsString
const std::string SITKCommon_EXPORT itk::simple::GetPixelIDValueAsString(PixelIDValueType type) -
getPixelIDValueFromString
PixelIDValueType SITKCommon_EXPORT itk::simple::GetPixelIDValueFromString(const std::string &enumString) Function mapping enumeration names in std::string to values. This function is intended for use by the R bindings. R stores the enumeration values using the names : "sitkUnknown", "sitkUInt8", etc from PixelIDValueEnum above. This function is used to provide the integer values using calls like: val = GetPixelIDValueFromString("sitkInt32") If the pixel type has not been instantiated then the sitkUnknown value (-1) will be returned. If the pixel type string is not recognized (i.e. is not in the set of tested names) then the return value is -99. The idea is to provide a warning (via the R package) if this function needs to be updated to match changes to PixelIDValueEnum - i.e. if a new pixel type is added. -
readTransform
SITKCommon_EXPORT Transform itk::simple::ReadTransform(const std::string &filename) -
writeTransform
SITKCommon_EXPORT void itk::simple::WriteTransform(const Transform &transform, const std::string &filename) -
show
void SITKIO_EXPORT itk::simple::Show(const Image &image, const std::string &title="", const bool debugOn=ProcessObject::GetGlobalDefaultDebug()) Display an image in an external viewer (Fiji by default) This function directly calls the execute method of ImageViewer in order to support a procedural API -
show
void SITKIO_EXPORT itk::simple::Show(const Image &image, const std::string &title="", const bool debugOn=ProcessObject::GetGlobalDefaultDebug()) Display an image in an external viewer (Fiji by default) This function directly calls the execute method of ImageViewer in order to support a procedural API -
show
void SITKIO_EXPORT itk::simple::Show(const Image &image, const std::string &title="", const bool debugOn=ProcessObject::GetGlobalDefaultDebug()) Display an image in an external viewer (Fiji by default) This function directly calls the execute method of ImageViewer in order to support a procedural API -
writeImage
public static void writeImage(Image image, String fileName, boolean useCompression, int compressionLevel) SITKIO_EXPORT void itk::simple::WriteImage(const Image &image, const std::vector< std::string > &fileNames, bool useCompression=false, int compressionLevel=-1) WriteImage is a procedural interface to the ImageSeriesWriter. class which is convenient for many image writing tasks. Parameters: image: the input image to be written fileNames: a vector of filenames of length equal to the number of slices in the image. useCompression: request to compress the written file compressionLevel: a hint for the amount of compression to be applied during writing. See: itk::simple::ImageFileWriter for writing a single file. -
writeImage
SITKIO_EXPORT void itk::simple::WriteImage(const Image &image, const std::vector< std::string > &fileNames, bool useCompression=false, int compressionLevel=-1) WriteImage is a procedural interface to the ImageSeriesWriter. class which is convenient for many image writing tasks. Parameters: image: the input image to be written fileNames: a vector of filenames of length equal to the number of slices in the image. useCompression: request to compress the written file compressionLevel: a hint for the amount of compression to be applied during writing. See: itk::simple::ImageFileWriter for writing a single file. -
writeImage
SITKIO_EXPORT void itk::simple::WriteImage(const Image &image, const std::vector< std::string > &fileNames, bool useCompression=false, int compressionLevel=-1) WriteImage is a procedural interface to the ImageSeriesWriter. class which is convenient for many image writing tasks. Parameters: image: the input image to be written fileNames: a vector of filenames of length equal to the number of slices in the image. useCompression: request to compress the written file compressionLevel: a hint for the amount of compression to be applied during writing. See: itk::simple::ImageFileWriter for writing a single file. -
writeImage
public static void writeImage(Image image, VectorString fileNames, boolean useCompression, int compressionLevel) SITKIO_EXPORT void itk::simple::WriteImage(const Image &image, const std::vector< std::string > &fileNames, bool useCompression=false, int compressionLevel=-1) WriteImage is a procedural interface to the ImageSeriesWriter. class which is convenient for many image writing tasks. Parameters: image: the input image to be written fileNames: a vector of filenames of length equal to the number of slices in the image. useCompression: request to compress the written file compressionLevel: a hint for the amount of compression to be applied during writing. See: itk::simple::ImageFileWriter for writing a single file. -
writeImage
SITKIO_EXPORT void itk::simple::WriteImage(const Image &image, const std::vector< std::string > &fileNames, bool useCompression=false, int compressionLevel=-1) WriteImage is a procedural interface to the ImageSeriesWriter. class which is convenient for many image writing tasks. Parameters: image: the input image to be written fileNames: a vector of filenames of length equal to the number of slices in the image. useCompression: request to compress the written file compressionLevel: a hint for the amount of compression to be applied during writing. See: itk::simple::ImageFileWriter for writing a single file. -
writeImage
SITKIO_EXPORT void itk::simple::WriteImage(const Image &image, const std::vector< std::string > &fileNames, bool useCompression=false, int compressionLevel=-1) WriteImage is a procedural interface to the ImageSeriesWriter. class which is convenient for many image writing tasks. Parameters: image: the input image to be written fileNames: a vector of filenames of length equal to the number of slices in the image. useCompression: request to compress the written file compressionLevel: a hint for the amount of compression to be applied during writing. See: itk::simple::ImageFileWriter for writing a single file. -
readImage
public static Image readImage(VectorString fileNames, PixelIDValueEnum outputPixelType, String imageIO) SITKIO_EXPORT Image itk::simple::ReadImage(const std::vector< std::string > &fileNames, PixelIDValueEnum outputPixelType=sitkUnknown, const std::string &imageIO="") ReadImage is a procedural interface to the ImageSeriesReader class which is convenient for most image reading tasks. Parameters: fileNames: a vector of file names outputPixelType: see ImageReaderBase::SetOutputPixelType imageIO: see ImageReaderBase::SetImageIO When reading a series of images that have meta-data associated with them (e.g. a DICOM series) the resulting image will have an empty meta-data dictionary. If you need the meta-data dictionaries associated with each slice then you should use the ImageSeriesReader class. If the pixel type for the returned image is not specified it is deduced from the first image in the series. This approach is computationally efficient and assumes that all images in a series have the same pixel type. If this is not the case, explicitly specify the widest pixel type in the series as the outputPixelType. See: itk::simple::ImageFileReader for reading a single file. itk::simple::ImageSeriesReader for reading a series and meta-data dictionaries. -
readImage
SITKIO_EXPORT Image itk::simple::ReadImage(const std::vector< std::string > &fileNames, PixelIDValueEnum outputPixelType=sitkUnknown, const std::string &imageIO="") ReadImage is a procedural interface to the ImageSeriesReader class which is convenient for most image reading tasks. Parameters: fileNames: a vector of file names outputPixelType: see ImageReaderBase::SetOutputPixelType imageIO: see ImageReaderBase::SetImageIO When reading a series of images that have meta-data associated with them (e.g. a DICOM series) the resulting image will have an empty meta-data dictionary. If you need the meta-data dictionaries associated with each slice then you should use the ImageSeriesReader class. If the pixel type for the returned image is not specified it is deduced from the first image in the series. This approach is computationally efficient and assumes that all images in a series have the same pixel type. If this is not the case, explicitly specify the widest pixel type in the series as the outputPixelType. See: itk::simple::ImageFileReader for reading a single file. itk::simple::ImageSeriesReader for reading a series and meta-data dictionaries. -
readImage
SITKIO_EXPORT Image itk::simple::ReadImage(const std::vector< std::string > &fileNames, PixelIDValueEnum outputPixelType=sitkUnknown, const std::string &imageIO="") ReadImage is a procedural interface to the ImageSeriesReader class which is convenient for most image reading tasks. Parameters: fileNames: a vector of file names outputPixelType: see ImageReaderBase::SetOutputPixelType imageIO: see ImageReaderBase::SetImageIO When reading a series of images that have meta-data associated with them (e.g. a DICOM series) the resulting image will have an empty meta-data dictionary. If you need the meta-data dictionaries associated with each slice then you should use the ImageSeriesReader class. If the pixel type for the returned image is not specified it is deduced from the first image in the series. This approach is computationally efficient and assumes that all images in a series have the same pixel type. If this is not the case, explicitly specify the widest pixel type in the series as the outputPixelType. See: itk::simple::ImageFileReader for reading a single file. itk::simple::ImageSeriesReader for reading a series and meta-data dictionaries. -
readImage
SITKIO_EXPORT Image itk::simple::ReadImage(const std::vector< std::string > &fileNames, PixelIDValueEnum outputPixelType=sitkUnknown, const std::string &imageIO="") ReadImage is a procedural interface to the ImageSeriesReader class which is convenient for most image reading tasks. Parameters: fileNames: a vector of file names outputPixelType: see ImageReaderBase::SetOutputPixelType imageIO: see ImageReaderBase::SetImageIO When reading a series of images that have meta-data associated with them (e.g. a DICOM series) the resulting image will have an empty meta-data dictionary. If you need the meta-data dictionaries associated with each slice then you should use the ImageSeriesReader class. If the pixel type for the returned image is not specified it is deduced from the first image in the series. This approach is computationally efficient and assumes that all images in a series have the same pixel type. If this is not the case, explicitly specify the widest pixel type in the series as the outputPixelType. See: itk::simple::ImageFileReader for reading a single file. itk::simple::ImageSeriesReader for reading a series and meta-data dictionaries. -
readImage
SITKIO_EXPORT Image itk::simple::ReadImage(const std::vector< std::string > &fileNames, PixelIDValueEnum outputPixelType=sitkUnknown, const std::string &imageIO="") ReadImage is a procedural interface to the ImageSeriesReader class which is convenient for most image reading tasks. Parameters: fileNames: a vector of file names outputPixelType: see ImageReaderBase::SetOutputPixelType imageIO: see ImageReaderBase::SetImageIO When reading a series of images that have meta-data associated with them (e.g. a DICOM series) the resulting image will have an empty meta-data dictionary. If you need the meta-data dictionaries associated with each slice then you should use the ImageSeriesReader class. If the pixel type for the returned image is not specified it is deduced from the first image in the series. This approach is computationally efficient and assumes that all images in a series have the same pixel type. If this is not the case, explicitly specify the widest pixel type in the series as the outputPixelType. See: itk::simple::ImageFileReader for reading a single file. itk::simple::ImageSeriesReader for reading a series and meta-data dictionaries. -
readImage
SITKIO_EXPORT Image itk::simple::ReadImage(const std::vector< std::string > &fileNames, PixelIDValueEnum outputPixelType=sitkUnknown, const std::string &imageIO="") ReadImage is a procedural interface to the ImageSeriesReader class which is convenient for most image reading tasks. Parameters: fileNames: a vector of file names outputPixelType: see ImageReaderBase::SetOutputPixelType imageIO: see ImageReaderBase::SetImageIO When reading a series of images that have meta-data associated with them (e.g. a DICOM series) the resulting image will have an empty meta-data dictionary. If you need the meta-data dictionaries associated with each slice then you should use the ImageSeriesReader class. If the pixel type for the returned image is not specified it is deduced from the first image in the series. This approach is computationally efficient and assumes that all images in a series have the same pixel type. If this is not the case, explicitly specify the widest pixel type in the series as the outputPixelType. See: itk::simple::ImageFileReader for reading a single file. itk::simple::ImageSeriesReader for reading a series and meta-data dictionaries. -
hash
std::string itk::simple::Hash(const Image &image, HashImageFilter::HashFunction function=HashImageFilter::SHA1) -
hash
std::string itk::simple::Hash(const Image &image, HashImageFilter::HashFunction function=HashImageFilter::SHA1) -
bSplineTransformInitializer
public static BSplineTransform bSplineTransformInitializer(Image image1, VectorUInt32 transformDomainMeshSize, long order) BSplineTransform itk::simple::BSplineTransformInitializer(const Image &image1, const std::vector< uint32_t > &transformDomainMeshSize=std::vector< uint32_t >(3, 1u), unsigned int order=3u) BSplineTransformInitializerFilter is a helper class intended to initialize the control point grid such that it has a physically consistent definition. It sets the transform domain origin, physical dimensions and direction from information obtained from the image. It also sets the mesh size if asked to do so by calling SetTransformDomainMeshSize()before calling InitializeTransform(). This function directly calls the execute method of BSplineTransformInitializerFilter in order to support a procedural API See: itk::simple::BSplineTransformInitializerFilter for the object oriented interface -
bSplineTransformInitializer
public static BSplineTransform bSplineTransformInitializer(Image image1, VectorUInt32 transformDomainMeshSize) BSplineTransform itk::simple::BSplineTransformInitializer(const Image &image1, const std::vector< uint32_t > &transformDomainMeshSize=std::vector< uint32_t >(3, 1u), unsigned int order=3u) BSplineTransformInitializerFilter is a helper class intended to initialize the control point grid such that it has a physically consistent definition. It sets the transform domain origin, physical dimensions and direction from information obtained from the image. It also sets the mesh size if asked to do so by calling SetTransformDomainMeshSize()before calling InitializeTransform(). This function directly calls the execute method of BSplineTransformInitializerFilter in order to support a procedural API See: itk::simple::BSplineTransformInitializerFilter for the object oriented interface -
bSplineTransformInitializer
BSplineTransform itk::simple::BSplineTransformInitializer(const Image &image1, const std::vector< uint32_t > &transformDomainMeshSize=std::vector< uint32_t >(3, 1u), unsigned int order=3u) BSplineTransformInitializerFilter is a helper class intended to initialize the control point grid such that it has a physically consistent definition. It sets the transform domain origin, physical dimensions and direction from information obtained from the image. It also sets the mesh size if asked to do so by calling SetTransformDomainMeshSize()before calling InitializeTransform(). This function directly calls the execute method of BSplineTransformInitializerFilter in order to support a procedural API See: itk::simple::BSplineTransformInitializerFilter for the object oriented interface -
centeredTransformInitializer
public static Transform centeredTransformInitializer(Image fixedImage, Image movingImage, Transform transform, CenteredTransformInitializerFilter.OperationModeType operationMode) Transform itk::simple::CenteredTransformInitializer(const Image &fixedImage, const Image &movingImage, const Transform &transform, CenteredTransformInitializerFilter::OperationModeType operationMode=it k::simple::CenteredTransformInitializerFilter::MOMENTS) CenteredTransformInitializer is a helper class intended to initialize the center of rotation and the translation of Transforms having the center of rotation among their parameters. This function directly calls the execute method of CenteredTransformInitializerFilter in order to support a procedural API See: itk::simple::CenteredTransformInitializerFilter for the object oriented interface -
centeredTransformInitializer
public static Transform centeredTransformInitializer(Image fixedImage, Image movingImage, Transform transform) Transform itk::simple::CenteredTransformInitializer(const Image &fixedImage, const Image &movingImage, const Transform &transform, CenteredTransformInitializerFilter::OperationModeType operationMode=it k::simple::CenteredTransformInitializerFilter::MOMENTS) CenteredTransformInitializer is a helper class intended to initialize the center of rotation and the translation of Transforms having the center of rotation among their parameters. This function directly calls the execute method of CenteredTransformInitializerFilter in order to support a procedural API See: itk::simple::CenteredTransformInitializerFilter for the object oriented interface -
centeredVersorTransformInitializer
public static Transform centeredVersorTransformInitializer(Image fixedImage, Image movingImage, Transform transform, boolean computeRotation) Transform itk::simple::CenteredVersorTransformInitializer(const Image &fixedImage, const Image &movingImage, const Transform &transform, bool computeRotation=false) CenteredVersorTransformInitializer is a helper class intended to initialize the center of rotation, versor, and translation of the VersorRigid3DTransform. This function directly calls the execute method of CenteredVectorTransformInitializerFilter in order to support a procedural API. See: itk::simple::CenteredVersorTransformInitializerFilter for the object oriented interface -
centeredVersorTransformInitializer
public static Transform centeredVersorTransformInitializer(Image fixedImage, Image movingImage, Transform transform) Transform itk::simple::CenteredVersorTransformInitializer(const Image &fixedImage, const Image &movingImage, const Transform &transform, bool computeRotation=false) CenteredVersorTransformInitializer is a helper class intended to initialize the center of rotation, versor, and translation of the VersorRigid3DTransform. This function directly calls the execute method of CenteredVectorTransformInitializerFilter in order to support a procedural API. See: itk::simple::CenteredVersorTransformInitializerFilter for the object oriented interface -
landmarkBasedTransformInitializer
public static Transform landmarkBasedTransformInitializer(Transform transform, VectorDouble fixedLandmarks, VectorDouble movingLandmarks, VectorDouble landmarkWeight, Image referenceImage, long numberOfControlPoints) Transform itk::simple::LandmarkBasedTransformInitializer(const Transform &transform, const std::vector< double > &fixedLandmarks=std::vector< double >(), const std::vector< double > &movingLandmarks=std::vector< double >(), const std::vector< double > &landmarkWeight=std::vector< double >(), const Image &referenceImage=Image(), unsigned int numberOfControlPoints=4u) itk::simple::LandmarkBasedTransformInitializerFilter Procedural Interface This function directly calls the execute method of LandmarkBasedTransformInitializerFilter in order to support a procedural API See: itk::simple::LandmarkBasedTransformInitializerFilter for the object oriented interface -
landmarkBasedTransformInitializer
public static Transform landmarkBasedTransformInitializer(Transform transform, VectorDouble fixedLandmarks, VectorDouble movingLandmarks, VectorDouble landmarkWeight, Image referenceImage) Transform itk::simple::LandmarkBasedTransformInitializer(const Transform &transform, const std::vector< double > &fixedLandmarks=std::vector< double >(), const std::vector< double > &movingLandmarks=std::vector< double >(), const std::vector< double > &landmarkWeight=std::vector< double >(), const Image &referenceImage=Image(), unsigned int numberOfControlPoints=4u) itk::simple::LandmarkBasedTransformInitializerFilter Procedural Interface This function directly calls the execute method of LandmarkBasedTransformInitializerFilter in order to support a procedural API See: itk::simple::LandmarkBasedTransformInitializerFilter for the object oriented interface -
landmarkBasedTransformInitializer
public static Transform landmarkBasedTransformInitializer(Transform transform, VectorDouble fixedLandmarks, VectorDouble movingLandmarks, VectorDouble landmarkWeight) Transform itk::simple::LandmarkBasedTransformInitializer(const Transform &transform, const std::vector< double > &fixedLandmarks=std::vector< double >(), const std::vector< double > &movingLandmarks=std::vector< double >(), const std::vector< double > &landmarkWeight=std::vector< double >(), const Image &referenceImage=Image(), unsigned int numberOfControlPoints=4u) itk::simple::LandmarkBasedTransformInitializerFilter Procedural Interface This function directly calls the execute method of LandmarkBasedTransformInitializerFilter in order to support a procedural API See: itk::simple::LandmarkBasedTransformInitializerFilter for the object oriented interface -
landmarkBasedTransformInitializer
public static Transform landmarkBasedTransformInitializer(Transform transform, VectorDouble fixedLandmarks, VectorDouble movingLandmarks) Transform itk::simple::LandmarkBasedTransformInitializer(const Transform &transform, const std::vector< double > &fixedLandmarks=std::vector< double >(), const std::vector< double > &movingLandmarks=std::vector< double >(), const std::vector< double > &landmarkWeight=std::vector< double >(), const Image &referenceImage=Image(), unsigned int numberOfControlPoints=4u) itk::simple::LandmarkBasedTransformInitializerFilter Procedural Interface This function directly calls the execute method of LandmarkBasedTransformInitializerFilter in order to support a procedural API See: itk::simple::LandmarkBasedTransformInitializerFilter for the object oriented interface -
landmarkBasedTransformInitializer
public static Transform landmarkBasedTransformInitializer(Transform transform, VectorDouble fixedLandmarks) Transform itk::simple::LandmarkBasedTransformInitializer(const Transform &transform, const std::vector< double > &fixedLandmarks=std::vector< double >(), const std::vector< double > &movingLandmarks=std::vector< double >(), const std::vector< double > &landmarkWeight=std::vector< double >(), const Image &referenceImage=Image(), unsigned int numberOfControlPoints=4u) itk::simple::LandmarkBasedTransformInitializerFilter Procedural Interface This function directly calls the execute method of LandmarkBasedTransformInitializerFilter in order to support a procedural API See: itk::simple::LandmarkBasedTransformInitializerFilter for the object oriented interface -
landmarkBasedTransformInitializer
Transform itk::simple::LandmarkBasedTransformInitializer(const Transform &transform, const std::vector< double > &fixedLandmarks=std::vector< double >(), const std::vector< double > &movingLandmarks=std::vector< double >(), const std::vector< double > &landmarkWeight=std::vector< double >(), const Image &referenceImage=Image(), unsigned int numberOfControlPoints=4u) itk::simple::LandmarkBasedTransformInitializerFilter Procedural Interface This function directly calls the execute method of LandmarkBasedTransformInitializerFilter in order to support a procedural API See: itk::simple::LandmarkBasedTransformInitializerFilter for the object oriented interface -
cast
Image itk::simple::Cast(const Image &image, PixelIDValueEnum pixelID) -
extract
public static Image extract(Image image1, VectorUInt32 size, VectorInt32 index, ExtractImageFilter.DirectionCollapseToStrategyType directionCollapseToStrategy) -
extract
-
extract
-
extract
-
paste
public static Image paste(Image destinationImage, Image sourceImage, VectorUInt32 sourceSize, VectorInt32 sourceIndex, VectorInt32 destinationIndex, VectorBool DestinationSkipAxes) -
paste
public static Image paste(Image destinationImage, Image sourceImage, VectorUInt32 sourceSize, VectorInt32 sourceIndex, VectorInt32 destinationIndex) -
paste
public static Image paste(Image destinationImage, Image sourceImage, VectorUInt32 sourceSize, VectorInt32 sourceIndex) -
paste
-
paste
-
resample
public static Image resample(Image image1, Transform transform, InterpolatorEnum interpolator, double defaultPixelValue, PixelIDValueEnum outputPixelType, boolean useNearestNeighborExtrapolator) -
resample
public static Image resample(Image image1, Transform transform, InterpolatorEnum interpolator, double defaultPixelValue, PixelIDValueEnum outputPixelType) -
resample
public static Image resample(Image image1, Transform transform, InterpolatorEnum interpolator, double defaultPixelValue) -
resample
-
resample
-
resample
-
resample
public static Image resample(Image image1, Image referenceImage, Transform transform, InterpolatorEnum interpolator, double defaultPixelValue, PixelIDValueEnum outputPixelType, boolean useNearestNeighborExtrapolator) -
resample
public static Image resample(Image image1, Image referenceImage, Transform transform, InterpolatorEnum interpolator, double defaultPixelValue, PixelIDValueEnum outputPixelType) -
resample
public static Image resample(Image image1, Image referenceImage, Transform transform, InterpolatorEnum interpolator, double defaultPixelValue) -
resample
public static Image resample(Image image1, Image referenceImage, Transform transform, InterpolatorEnum interpolator) -
resample
-
resample
-
resample
public static Image resample(Image image1, VectorUInt32 size, Transform transform, InterpolatorEnum interpolator, VectorDouble outputOrigin, VectorDouble outputSpacing, VectorDouble outputDirection, double defaultPixelValue, PixelIDValueEnum outputPixelType, boolean useNearestNeighborExtrapolator) -
resample
public static Image resample(Image image1, VectorUInt32 size, Transform transform, InterpolatorEnum interpolator, VectorDouble outputOrigin, VectorDouble outputSpacing, VectorDouble outputDirection, double defaultPixelValue, PixelIDValueEnum outputPixelType) -
resample
public static Image resample(Image image1, VectorUInt32 size, Transform transform, InterpolatorEnum interpolator, VectorDouble outputOrigin, VectorDouble outputSpacing, VectorDouble outputDirection, double defaultPixelValue) -
resample
public static Image resample(Image image1, VectorUInt32 size, Transform transform, InterpolatorEnum interpolator, VectorDouble outputOrigin, VectorDouble outputSpacing, VectorDouble outputDirection) -
resample
public static Image resample(Image image1, VectorUInt32 size, Transform transform, InterpolatorEnum interpolator, VectorDouble outputOrigin, VectorDouble outputSpacing) -
resample
public static Image resample(Image image1, VectorUInt32 size, Transform transform, InterpolatorEnum interpolator, VectorDouble outputOrigin) -
resample
public static Image resample(Image image1, VectorUInt32 size, Transform transform, InterpolatorEnum interpolator) -
resample
-
resample
-
patchBasedDenoising
public static Image patchBasedDenoising(Image image1, PatchBasedDenoisingImageFilter.NoiseModelType noiseModel, double kernelBandwidthSigma, long patchRadius, long numberOfIterations, long numberOfSamplePatches, double sampleVariance, double noiseSigma, double noiseModelFidelityWeight) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interface -
patchBasedDenoising
public static Image patchBasedDenoising(Image image1, PatchBasedDenoisingImageFilter.NoiseModelType noiseModel, double kernelBandwidthSigma, long patchRadius, long numberOfIterations, long numberOfSamplePatches, double sampleVariance, double noiseSigma) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interface -
patchBasedDenoising
public static Image patchBasedDenoising(Image image1, PatchBasedDenoisingImageFilter.NoiseModelType noiseModel, double kernelBandwidthSigma, long patchRadius, long numberOfIterations, long numberOfSamplePatches, double sampleVariance) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interface -
patchBasedDenoising
public static Image patchBasedDenoising(Image image1, PatchBasedDenoisingImageFilter.NoiseModelType noiseModel, double kernelBandwidthSigma, long patchRadius, long numberOfIterations, long numberOfSamplePatches) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interface -
patchBasedDenoising
public static Image patchBasedDenoising(Image image1, PatchBasedDenoisingImageFilter.NoiseModelType noiseModel, double kernelBandwidthSigma, long patchRadius, long numberOfIterations) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interface -
patchBasedDenoising
public static Image patchBasedDenoising(Image image1, PatchBasedDenoisingImageFilter.NoiseModelType noiseModel, double kernelBandwidthSigma, long patchRadius) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interface -
patchBasedDenoising
public static Image patchBasedDenoising(Image image1, PatchBasedDenoisingImageFilter.NoiseModelType noiseModel, double kernelBandwidthSigma) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interface -
patchBasedDenoising
public static Image patchBasedDenoising(Image image1, PatchBasedDenoisingImageFilter.NoiseModelType noiseModel) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interface -
patchBasedDenoising
public static Image patchBasedDenoising(Image image1, double kernelBandwidthSigma, long patchRadius, long numberOfIterations, long numberOfSamplePatches, double sampleVariance) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interface -
patchBasedDenoising
public static Image patchBasedDenoising(Image image1, double kernelBandwidthSigma, long patchRadius, long numberOfIterations, long numberOfSamplePatches) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interface -
patchBasedDenoising
public static Image patchBasedDenoising(Image image1, double kernelBandwidthSigma, long patchRadius, long numberOfIterations) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interface -
patchBasedDenoising
public static Image patchBasedDenoising(Image image1, double kernelBandwidthSigma, long patchRadius) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interface -
patchBasedDenoising
Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interface -
patchBasedDenoising
Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interface -
discreteGaussian
public static Image discreteGaussian(Image image1, double variance, long maximumKernelWidth, double maximumError, boolean useImageSpacing) Image itk::simple::DiscreteGaussian(const Image &image1, double variance, unsigned int maximumKernelWidth=32u, double maximumError=0.01, bool useImageSpacing=true) Blurs an image by separable convolution with discrete gaussian kernels. This filter performs Gaussian blurring by separable convolution of an image and a discrete Gaussian operator (kernel). This function directly calls the execute method of DiscreteGaussianImageFilter in order to support a procedural API See: itk::simple::DiscreteGaussianImageFilter for the object oriented interface -
discreteGaussian
public static Image discreteGaussian(Image image1, double variance, long maximumKernelWidth, double maximumError) Image itk::simple::DiscreteGaussian(const Image &image1, double variance, unsigned int maximumKernelWidth=32u, double maximumError=0.01, bool useImageSpacing=true) Blurs an image by separable convolution with discrete gaussian kernels. This filter performs Gaussian blurring by separable convolution of an image and a discrete Gaussian operator (kernel). This function directly calls the execute method of DiscreteGaussianImageFilter in order to support a procedural API See: itk::simple::DiscreteGaussianImageFilter for the object oriented interface -
discreteGaussian
Image itk::simple::DiscreteGaussian(const Image &image1, double variance, unsigned int maximumKernelWidth=32u, double maximumError=0.01, bool useImageSpacing=true) Blurs an image by separable convolution with discrete gaussian kernels. This filter performs Gaussian blurring by separable convolution of an image and a discrete Gaussian operator (kernel). This function directly calls the execute method of DiscreteGaussianImageFilter in order to support a procedural API See: itk::simple::DiscreteGaussianImageFilter for the object oriented interface -
discreteGaussian
Image itk::simple::DiscreteGaussian(const Image &image1, double variance, unsigned int maximumKernelWidth=32u, double maximumError=0.01, bool useImageSpacing=true) Blurs an image by separable convolution with discrete gaussian kernels. This filter performs Gaussian blurring by separable convolution of an image and a discrete Gaussian operator (kernel). This function directly calls the execute method of DiscreteGaussianImageFilter in order to support a procedural API See: itk::simple::DiscreteGaussianImageFilter for the object oriented interface -
smoothingRecursiveGaussian
public static Image smoothingRecursiveGaussian(Image image1, double sigma, boolean normalizeAcrossScale) Image itk::simple::SmoothingRecursiveGaussian(const Image &image1, double sigma, bool normalizeAcrossScale=false) Computes the smoothing of an image by convolution with the Gaussian kernels implemented as IIR filters. This function directly calls the execute method of SmoothingRecursiveGaussianImageFilter in order to support a procedural API See: itk::simple::SmoothingRecursiveGaussianImageFilter for the object oriented interface -
smoothingRecursiveGaussian
Image itk::simple::SmoothingRecursiveGaussian(const Image &image1, double sigma, bool normalizeAcrossScale=false) Computes the smoothing of an image by convolution with the Gaussian kernels implemented as IIR filters. This function directly calls the execute method of SmoothingRecursiveGaussianImageFilter in order to support a procedural API See: itk::simple::SmoothingRecursiveGaussianImageFilter for the object oriented interface -
abs
-
absoluteValueDifference
Image itk::simple::AbsoluteValueDifference(Image &&image1, double constant) -
absoluteValueDifference
Image itk::simple::AbsoluteValueDifference(Image &&image1, double constant) -
absoluteValueDifference
Image itk::simple::AbsoluteValueDifference(Image &&image1, double constant) -
acos
-
adaptiveHistogramEqualization
public static Image adaptiveHistogramEqualization(Image image1, VectorUInt32 radius, float alpha, float beta) -
adaptiveHistogramEqualization
-
adaptiveHistogramEqualization
-
adaptiveHistogramEqualization
-
add
Image itk::simple::Add(Image &&image1, double constant) -
add
Image itk::simple::Add(Image &&image1, double constant) -
add
Image itk::simple::Add(Image &&image1, double constant) -
additiveGaussianNoise
-
additiveGaussianNoise
-
additiveGaussianNoise
-
additiveGaussianNoise
-
aggregateLabelMap
-
and
Image itk::simple::And(int constant, const Image &image2) -
and
Image itk::simple::And(int constant, const Image &image2) -
and
Image itk::simple::And(int constant, const Image &image2) -
antiAliasBinary
-
antiAliasBinary
-
antiAliasBinary
-
approximateSignedDistanceMap
-
approximateSignedDistanceMap
-
approximateSignedDistanceMap
-
areaClosing
-
areaClosing
-
areaClosing
-
areaClosing
-
areaOpening
-
areaOpening
-
areaOpening
-
areaOpening
-
asin
-
atan2
Image itk::simple::Atan2(Image &&image1, double constant) -
atan2
Image itk::simple::Atan2(Image &&image1, double constant) -
atan2
Image itk::simple::Atan2(Image &&image1, double constant) -
atan
-
bSplineDecomposition
-
bSplineDecomposition
-
bilateral
-
bilateral
-
bilateral
-
bilateral
-
binShrink
-
binShrink
-
binaryClosingByReconstruction
public static Image binaryClosingByReconstruction(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double foregroundValue, boolean fullyConnected) -
binaryClosingByReconstruction
public static Image binaryClosingByReconstruction(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double foregroundValue) -
binaryClosingByReconstruction
public static Image binaryClosingByReconstruction(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) -
binaryClosingByReconstruction
-
binaryClosingByReconstruction
-
binaryContour
-
binaryContour
-
binaryContour
-
binaryContour
-
binaryDilate
public static Image binaryDilate(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double backgroundValue, double foregroundValue, boolean boundaryToForeground) -
binaryDilate
public static Image binaryDilate(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double backgroundValue, double foregroundValue) -
binaryDilate
public static Image binaryDilate(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double backgroundValue) -
binaryDilate
-
binaryDilate
-
binaryDilate
-
binaryErode
public static Image binaryErode(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double backgroundValue, double foregroundValue, boolean boundaryToForeground) -
binaryErode
public static Image binaryErode(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double backgroundValue, double foregroundValue) -
binaryErode
public static Image binaryErode(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double backgroundValue) -
binaryErode
-
binaryErode
-
binaryErode
-
binaryFillhole
-
binaryFillhole
-
binaryFillhole
-
binaryGrindPeak
-
binaryGrindPeak
-
binaryGrindPeak
-
binaryGrindPeak
-
binaryImageToLabelMap
-
binaryImageToLabelMap
-
binaryImageToLabelMap
-
binaryImageToLabelMap
-
binaryMagnitude
-
binaryMedian
public static Image binaryMedian(Image image1, VectorUInt32 radius, double foregroundValue, double backgroundValue) -
binaryMedian
-
binaryMedian
-
binaryMedian
-
binaryMinMaxCurvatureFlow
-
binaryMinMaxCurvatureFlow
-
binaryMinMaxCurvatureFlow
-
binaryMinMaxCurvatureFlow
-
binaryMinMaxCurvatureFlow
-
binaryMorphologicalClosing
public static Image binaryMorphologicalClosing(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double foregroundValue, boolean safeBorder) -
binaryMorphologicalClosing
public static Image binaryMorphologicalClosing(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double foregroundValue) -
binaryMorphologicalClosing
public static Image binaryMorphologicalClosing(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) -
binaryMorphologicalClosing
-
binaryMorphologicalClosing
-
binaryMorphologicalOpening
public static Image binaryMorphologicalOpening(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double backgroundValue, double foregroundValue) -
binaryMorphologicalOpening
public static Image binaryMorphologicalOpening(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double backgroundValue) -
binaryMorphologicalOpening
public static Image binaryMorphologicalOpening(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) -
binaryMorphologicalOpening
-
binaryMorphologicalOpening
-
binaryNot
-
binaryNot
-
binaryNot
-
binaryOpeningByReconstruction
public static Image binaryOpeningByReconstruction(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double foregroundValue, double backgroundValue, boolean fullyConnected) -
binaryOpeningByReconstruction
public static Image binaryOpeningByReconstruction(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double foregroundValue, double backgroundValue) -
binaryOpeningByReconstruction
public static Image binaryOpeningByReconstruction(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double foregroundValue) -
binaryOpeningByReconstruction
public static Image binaryOpeningByReconstruction(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) -
binaryOpeningByReconstruction
-
binaryOpeningByReconstruction
-
binaryProjection
-
binaryProjection
-
binaryProjection
-
binaryProjection
-
binaryPruning
-
binaryPruning
-
binaryReconstructionByDilation
-
binaryReconstructionByDilation
-
binaryReconstructionByDilation
-
binaryReconstructionByDilation
-
binaryReconstructionByErosion
-
binaryReconstructionByErosion
-
binaryReconstructionByErosion
-
binaryReconstructionByErosion
-
binaryThinning
-
binaryThreshold
-
binaryThreshold
-
binaryThreshold
-
binaryThreshold
-
binaryThreshold
-
binaryThresholdProjection
-
binaryThresholdProjection
-
binaryThresholdProjection
-
binaryThresholdProjection
-
binaryThresholdProjection
-
binomialBlur
-
binomialBlur
-
bitwiseNot
-
blackTopHat
public static Image blackTopHat(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, boolean safeBorder) -
blackTopHat
-
blackTopHat
-
blackTopHat
-
boundedReciprocal
-
boxMean
-
boxMean
-
boxSigma
-
boxSigma
-
cannyEdgeDetection
public static Image cannyEdgeDetection(Image image1, double lowerThreshold, double upperThreshold, VectorDouble variance, VectorDouble maximumError) -
cannyEdgeDetection
public static Image cannyEdgeDetection(Image image1, double lowerThreshold, double upperThreshold, VectorDouble variance) -
cannyEdgeDetection
-
cannyEdgeDetection
-
cannyEdgeDetection
-
cannySegmentationLevelSet
public static Image cannySegmentationLevelSet(Image initialImage, Image featureImage, double threshold, double variance, double maximumRMSError, double propagationScaling, double curvatureScaling, double advectionScaling, long numberOfIterations, boolean reverseExpansionDirection, double isoSurfaceValue) -
cannySegmentationLevelSet
-
cannySegmentationLevelSet
-
cannySegmentationLevelSet
-
cannySegmentationLevelSet
-
cannySegmentationLevelSet
-
cannySegmentationLevelSet
-
cannySegmentationLevelSet
-
cannySegmentationLevelSet
-
cannySegmentationLevelSet
-
changeLabel
-
changeLabel
-
changeLabelLabelMap
-
changeLabelLabelMap
-
checkerBoard
-
checkerBoard
-
clamp
public static Image clamp(Image image1, PixelIDValueEnum outputPixelType, double lowerBound, double upperBound) -
clamp
-
clamp
-
clamp
-
closingByReconstruction
public static Image closingByReconstruction(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, boolean fullyConnected, boolean preserveIntensities) -
closingByReconstruction
public static Image closingByReconstruction(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, boolean fullyConnected) -
closingByReconstruction
public static Image closingByReconstruction(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) -
closingByReconstruction
-
closingByReconstruction
-
collidingFronts
public static Image collidingFronts(Image image1, VectorUIntList seedPoints1, VectorUIntList seedPoints2, boolean applyConnectivity, double negativeEpsilon, boolean stopOnTargets) -
collidingFronts
public static Image collidingFronts(Image image1, VectorUIntList seedPoints1, VectorUIntList seedPoints2, boolean applyConnectivity, double negativeEpsilon) -
collidingFronts
public static Image collidingFronts(Image image1, VectorUIntList seedPoints1, VectorUIntList seedPoints2, boolean applyConnectivity) -
collidingFronts
public static Image collidingFronts(Image image1, VectorUIntList seedPoints1, VectorUIntList seedPoints2) -
collidingFronts
-
collidingFronts
-
complexToImaginary
-
complexToModulus
-
complexToPhase
-
complexToReal
-
compose
-
compose
-
compose
-
compose
-
compose
-
compose
-
confidenceConnected
public static Image confidenceConnected(Image image1, VectorUIntList seedList, long numberOfIterations, double multiplier, long initialNeighborhoodRadius, short replaceValue) -
confidenceConnected
public static Image confidenceConnected(Image image1, VectorUIntList seedList, long numberOfIterations, double multiplier, long initialNeighborhoodRadius) -
confidenceConnected
public static Image confidenceConnected(Image image1, VectorUIntList seedList, long numberOfIterations, double multiplier) -
confidenceConnected
public static Image confidenceConnected(Image image1, VectorUIntList seedList, long numberOfIterations) -
confidenceConnected
-
confidenceConnected
-
connectedComponent
-
connectedComponent
-
connectedComponent
-
connectedComponent
-
connectedThreshold
public static Image connectedThreshold(Image image1, VectorUIntList seedList, double lower, double upper, short replaceValue, ConnectedThresholdImageFilter.ConnectivityType connectivity) -
connectedThreshold
public static Image connectedThreshold(Image image1, VectorUIntList seedList, double lower, double upper, short replaceValue) -
connectedThreshold
public static Image connectedThreshold(Image image1, VectorUIntList seedList, double lower, double upper) -
connectedThreshold
-
connectedThreshold
-
connectedThreshold
-
constantPad
public static Image constantPad(Image image1, VectorUInt32 padLowerBound, VectorUInt32 padUpperBound, double constant) -
constantPad
public static Image constantPad(Image image1, VectorUInt32 padLowerBound, VectorUInt32 padUpperBound) -
constantPad
-
constantPad
-
convolution
public static Image convolution(Image image, Image kernelImage, boolean normalize, ConvolutionImageFilter.BoundaryConditionType boundaryCondition, ConvolutionImageFilter.OutputRegionModeType outputRegionMode) -
convolution
public static Image convolution(Image image, Image kernelImage, boolean normalize, ConvolutionImageFilter.BoundaryConditionType boundaryCondition) -
convolution
-
convolution
-
cos
-
crop
public static Image crop(Image image1, VectorUInt32 lowerBoundaryCropSize, VectorUInt32 upperBoundaryCropSize) -
crop
-
crop
-
curvatureAnisotropicDiffusion
-
curvatureAnisotropicDiffusion
-
curvatureAnisotropicDiffusion
-
curvatureAnisotropicDiffusion
-
curvatureAnisotropicDiffusion
-
curvatureFlow
-
curvatureFlow
-
curvatureFlow
-
cyclicShift
-
cyclicShift
-
dICOMOrient
-
dICOMOrient
-
danielssonDistanceMap
-
danielssonDistanceMap
-
danielssonDistanceMap
-
danielssonDistanceMap
-
derivative
-
derivative
-
derivative
-
derivative
-
dilateObjectMorphology
public static Image dilateObjectMorphology(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double objectValue) -
dilateObjectMorphology
public static Image dilateObjectMorphology(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) -
dilateObjectMorphology
-
dilateObjectMorphology
-
discreteGaussianDerivative
public static Image discreteGaussianDerivative(Image image1, VectorDouble variance, VectorUInt32 order, long maximumKernelWidth, double maximumError, boolean useImageSpacing, boolean normalizeAcrossScale) -
discreteGaussianDerivative
public static Image discreteGaussianDerivative(Image image1, VectorDouble variance, VectorUInt32 order, long maximumKernelWidth, double maximumError, boolean useImageSpacing) -
discreteGaussianDerivative
public static Image discreteGaussianDerivative(Image image1, VectorDouble variance, VectorUInt32 order, long maximumKernelWidth, double maximumError) -
discreteGaussianDerivative
public static Image discreteGaussianDerivative(Image image1, VectorDouble variance, VectorUInt32 order, long maximumKernelWidth) -
discreteGaussianDerivative
public static Image discreteGaussianDerivative(Image image1, VectorDouble variance, VectorUInt32 order) -
discreteGaussianDerivative
-
discreteGaussianDerivative
-
discreteGaussian
public static Image discreteGaussian(Image image1, VectorDouble variance, long maximumKernelWidth, VectorDouble maximumError, boolean useImageSpacing) Image itk::simple::DiscreteGaussian(const Image &image1, double variance, unsigned int maximumKernelWidth=32u, double maximumError=0.01, bool useImageSpacing=true) Blurs an image by separable convolution with discrete gaussian kernels. This filter performs Gaussian blurring by separable convolution of an image and a discrete Gaussian operator (kernel). This function directly calls the execute method of DiscreteGaussianImageFilter in order to support a procedural API See: itk::simple::DiscreteGaussianImageFilter for the object oriented interface -
discreteGaussian
public static Image discreteGaussian(Image image1, VectorDouble variance, long maximumKernelWidth, VectorDouble maximumError) Image itk::simple::DiscreteGaussian(const Image &image1, double variance, unsigned int maximumKernelWidth=32u, double maximumError=0.01, bool useImageSpacing=true) Blurs an image by separable convolution with discrete gaussian kernels. This filter performs Gaussian blurring by separable convolution of an image and a discrete Gaussian operator (kernel). This function directly calls the execute method of DiscreteGaussianImageFilter in order to support a procedural API See: itk::simple::DiscreteGaussianImageFilter for the object oriented interface -
discreteGaussian
Image itk::simple::DiscreteGaussian(const Image &image1, double variance, unsigned int maximumKernelWidth=32u, double maximumError=0.01, bool useImageSpacing=true) Blurs an image by separable convolution with discrete gaussian kernels. This filter performs Gaussian blurring by separable convolution of an image and a discrete Gaussian operator (kernel). This function directly calls the execute method of DiscreteGaussianImageFilter in order to support a procedural API See: itk::simple::DiscreteGaussianImageFilter for the object oriented interface -
discreteGaussian
Image itk::simple::DiscreteGaussian(const Image &image1, double variance, unsigned int maximumKernelWidth=32u, double maximumError=0.01, bool useImageSpacing=true) Blurs an image by separable convolution with discrete gaussian kernels. This filter performs Gaussian blurring by separable convolution of an image and a discrete Gaussian operator (kernel). This function directly calls the execute method of DiscreteGaussianImageFilter in order to support a procedural API See: itk::simple::DiscreteGaussianImageFilter for the object oriented interface -
discreteGaussian
Image itk::simple::DiscreteGaussian(const Image &image1, double variance, unsigned int maximumKernelWidth=32u, double maximumError=0.01, bool useImageSpacing=true) Blurs an image by separable convolution with discrete gaussian kernels. This filter performs Gaussian blurring by separable convolution of an image and a discrete Gaussian operator (kernel). This function directly calls the execute method of DiscreteGaussianImageFilter in order to support a procedural API See: itk::simple::DiscreteGaussianImageFilter for the object oriented interface -
displacementFieldJacobianDeterminant
public static Image displacementFieldJacobianDeterminant(Image image1, boolean useImageSpacing, VectorDouble derivativeWeights) -
displacementFieldJacobianDeterminant
-
displacementFieldJacobianDeterminant
-
divideFloor
Image itk::simple::DivideFloor(Image &&image1, double constant) -
divideFloor
Image itk::simple::DivideFloor(Image &&image1, double constant) -
divideFloor
Image itk::simple::DivideFloor(Image &&image1, double constant) -
divide
Image itk::simple::Divide(Image &&image1, double constant) -
divide
Image itk::simple::Divide(Image &&image1, double constant) -
divide
Image itk::simple::Divide(Image &&image1, double constant) -
divideReal
Image itk::simple::DivideReal(Image &&image1, double constant) -
divideReal
Image itk::simple::DivideReal(Image &&image1, double constant) -
divideReal
Image itk::simple::DivideReal(Image &&image1, double constant) -
doubleThreshold
-
doubleThreshold
-
doubleThreshold
-
doubleThreshold
-
doubleThreshold
-
doubleThreshold
-
doubleThreshold
-
doubleThreshold
-
edgePotential
-
equal
Image itk::simple::Equal(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
equal
Image itk::simple::Equal(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
equal
Image itk::simple::Equal(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
equal
public static Image equal(Image image1, double constant, short backgroundValue, short foregroundValue) Image itk::simple::Equal(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
equal
Image itk::simple::Equal(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
equal
Image itk::simple::Equal(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
equal
public static Image equal(double constant, Image image2, short backgroundValue, short foregroundValue) Image itk::simple::Equal(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
equal
Image itk::simple::Equal(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
equal
Image itk::simple::Equal(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
erodeObjectMorphology
public static Image erodeObjectMorphology(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double objectValue, double backgroundValue) -
erodeObjectMorphology
public static Image erodeObjectMorphology(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double objectValue) -
erodeObjectMorphology
public static Image erodeObjectMorphology(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) -
erodeObjectMorphology
-
erodeObjectMorphology
-
exp
-
expNegative
-
expand
-
expand
-
expand
-
fFTConvolution
public static Image fFTConvolution(Image image, Image kernelImage, boolean normalize, FFTConvolutionImageFilter.BoundaryConditionType boundaryCondition, FFTConvolutionImageFilter.OutputRegionModeType outputRegionMode) -
fFTConvolution
public static Image fFTConvolution(Image image, Image kernelImage, boolean normalize, FFTConvolutionImageFilter.BoundaryConditionType boundaryCondition) -
fFTConvolution
-
fFTConvolution
-
fFTNormalizedCorrelation
-
fFTNormalizedCorrelation
-
fFTNormalizedCorrelation
-
fFTPad
public static Image fFTPad(Image image1, FFTPadImageFilter.BoundaryConditionType boundaryCondition, int sizeGreatestPrimeFactor) -
fFTPad
-
fFTPad
-
fFTShift
-
fFTShift
-
fastApproximateRank
-
fastApproximateRank
-
fastApproximateRank
-
fastMarchingBase
public static Image fastMarchingBase(Image image1, VectorUIntList trialPoints, double normalizationFactor, double stoppingValue, FastMarchingBaseImageFilter.TopologyCheckType topologyCheck, VectorDouble initialTrialValues) -
fastMarchingBase
public static Image fastMarchingBase(Image image1, VectorUIntList trialPoints, double normalizationFactor, double stoppingValue, FastMarchingBaseImageFilter.TopologyCheckType topologyCheck) -
fastMarchingBase
public static Image fastMarchingBase(Image image1, VectorUIntList trialPoints, double normalizationFactor, double stoppingValue) -
fastMarchingBase
public static Image fastMarchingBase(Image image1, VectorUIntList trialPoints, double normalizationFactor) -
fastMarchingBase
-
fastMarchingBase
-
fastMarching
public static Image fastMarching(Image image1, VectorUIntList trialPoints, double normalizationFactor, double stoppingValue, VectorDouble initialTrialValues) -
fastMarching
public static Image fastMarching(Image image1, VectorUIntList trialPoints, double normalizationFactor, double stoppingValue) -
fastMarching
public static Image fastMarching(Image image1, VectorUIntList trialPoints, double normalizationFactor) -
fastMarching
-
fastMarching
-
fastMarchingUpwindGradient
public static Image fastMarchingUpwindGradient(Image image1, VectorUIntList trialPoints, long numberOfTargets, VectorUIntList targetPoints, double targetOffset, double normalizationFactor, VectorDouble initialTrialValues) -
fastMarchingUpwindGradient
public static Image fastMarchingUpwindGradient(Image image1, VectorUIntList trialPoints, long numberOfTargets, VectorUIntList targetPoints, double targetOffset, double normalizationFactor) -
fastMarchingUpwindGradient
public static Image fastMarchingUpwindGradient(Image image1, VectorUIntList trialPoints, long numberOfTargets, VectorUIntList targetPoints, double targetOffset) -
fastMarchingUpwindGradient
public static Image fastMarchingUpwindGradient(Image image1, VectorUIntList trialPoints, long numberOfTargets, VectorUIntList targetPoints) -
fastMarchingUpwindGradient
public static Image fastMarchingUpwindGradient(Image image1, VectorUIntList trialPoints, long numberOfTargets) -
fastMarchingUpwindGradient
-
fastMarchingUpwindGradient
-
flip
-
flip
-
flip
-
forwardFFT
-
gaborSource
public static Image gaborSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble mean, double frequency, VectorDouble origin, VectorDouble spacing, VectorDouble direction) Image itk::simple::GaborSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double frequency=0.4, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an n-dimensional image of a Gabor filter. This function directly calls the execute method of GaborImageSource in order to support a procedural API See: itk::simple::GaborImageSource for the object oriented interface -
gaborSource
public static Image gaborSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble mean, double frequency, VectorDouble origin, VectorDouble spacing) Image itk::simple::GaborSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double frequency=0.4, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an n-dimensional image of a Gabor filter. This function directly calls the execute method of GaborImageSource in order to support a procedural API See: itk::simple::GaborImageSource for the object oriented interface -
gaborSource
public static Image gaborSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble mean, double frequency, VectorDouble origin) Image itk::simple::GaborSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double frequency=0.4, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an n-dimensional image of a Gabor filter. This function directly calls the execute method of GaborImageSource in order to support a procedural API See: itk::simple::GaborImageSource for the object oriented interface -
gaborSource
public static Image gaborSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble mean, double frequency) Image itk::simple::GaborSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double frequency=0.4, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an n-dimensional image of a Gabor filter. This function directly calls the execute method of GaborImageSource in order to support a procedural API See: itk::simple::GaborImageSource for the object oriented interface -
gaborSource
public static Image gaborSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble mean) Image itk::simple::GaborSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double frequency=0.4, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an n-dimensional image of a Gabor filter. This function directly calls the execute method of GaborImageSource in order to support a procedural API See: itk::simple::GaborImageSource for the object oriented interface -
gaborSource
public static Image gaborSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma) Image itk::simple::GaborSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double frequency=0.4, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an n-dimensional image of a Gabor filter. This function directly calls the execute method of GaborImageSource in order to support a procedural API See: itk::simple::GaborImageSource for the object oriented interface -
gaborSource
Image itk::simple::GaborSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double frequency=0.4, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an n-dimensional image of a Gabor filter. This function directly calls the execute method of GaborImageSource in order to support a procedural API See: itk::simple::GaborImageSource for the object oriented interface -
gaborSource
Image itk::simple::GaborSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double frequency=0.4, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an n-dimensional image of a Gabor filter. This function directly calls the execute method of GaborImageSource in order to support a procedural API See: itk::simple::GaborImageSource for the object oriented interface -
gaborSource
Image itk::simple::GaborSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double frequency=0.4, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an n-dimensional image of a Gabor filter. This function directly calls the execute method of GaborImageSource in order to support a procedural API See: itk::simple::GaborImageSource for the object oriented interface -
gaussianSource
public static Image gaussianSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble mean, double scale, VectorDouble origin, VectorDouble spacing, VectorDouble direction, boolean normalized) Image itk::simple::GaussianSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double scale=255, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), bool normalized=false) Generate an n-dimensional image of a Gaussian. This function directly calls the execute method of GaussianImageSource in order to support a procedural API See: itk::simple::GaussianImageSource for the object oriented interface -
gaussianSource
public static Image gaussianSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble mean, double scale, VectorDouble origin, VectorDouble spacing, VectorDouble direction) Image itk::simple::GaussianSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double scale=255, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), bool normalized=false) Generate an n-dimensional image of a Gaussian. This function directly calls the execute method of GaussianImageSource in order to support a procedural API See: itk::simple::GaussianImageSource for the object oriented interface -
gaussianSource
public static Image gaussianSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble mean, double scale, VectorDouble origin, VectorDouble spacing) Image itk::simple::GaussianSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double scale=255, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), bool normalized=false) Generate an n-dimensional image of a Gaussian. This function directly calls the execute method of GaussianImageSource in order to support a procedural API See: itk::simple::GaussianImageSource for the object oriented interface -
gaussianSource
public static Image gaussianSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble mean, double scale, VectorDouble origin) Image itk::simple::GaussianSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double scale=255, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), bool normalized=false) Generate an n-dimensional image of a Gaussian. This function directly calls the execute method of GaussianImageSource in order to support a procedural API See: itk::simple::GaussianImageSource for the object oriented interface -
gaussianSource
public static Image gaussianSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble mean, double scale) Image itk::simple::GaussianSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double scale=255, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), bool normalized=false) Generate an n-dimensional image of a Gaussian. This function directly calls the execute method of GaussianImageSource in order to support a procedural API See: itk::simple::GaussianImageSource for the object oriented interface -
gaussianSource
public static Image gaussianSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble mean) Image itk::simple::GaussianSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double scale=255, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), bool normalized=false) Generate an n-dimensional image of a Gaussian. This function directly calls the execute method of GaussianImageSource in order to support a procedural API See: itk::simple::GaussianImageSource for the object oriented interface -
gaussianSource
public static Image gaussianSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma) Image itk::simple::GaussianSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double scale=255, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), bool normalized=false) Generate an n-dimensional image of a Gaussian. This function directly calls the execute method of GaussianImageSource in order to support a procedural API See: itk::simple::GaussianImageSource for the object oriented interface -
gaussianSource
Image itk::simple::GaussianSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double scale=255, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), bool normalized=false) Generate an n-dimensional image of a Gaussian. This function directly calls the execute method of GaussianImageSource in order to support a procedural API See: itk::simple::GaussianImageSource for the object oriented interface -
gaussianSource
Image itk::simple::GaussianSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double scale=255, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), bool normalized=false) Generate an n-dimensional image of a Gaussian. This function directly calls the execute method of GaussianImageSource in order to support a procedural API See: itk::simple::GaussianImageSource for the object oriented interface -
gaussianSource
Image itk::simple::GaussianSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double scale=255, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), bool normalized=false) Generate an n-dimensional image of a Gaussian. This function directly calls the execute method of GaussianImageSource in order to support a procedural API See: itk::simple::GaussianImageSource for the object oriented interface -
geodesicActiveContourLevelSet
-
geodesicActiveContourLevelSet
-
geodesicActiveContourLevelSet
-
geodesicActiveContourLevelSet
-
geodesicActiveContourLevelSet
-
geodesicActiveContourLevelSet
-
geodesicActiveContourLevelSet
-
gradientAnisotropicDiffusion
-
gradientAnisotropicDiffusion
-
gradientAnisotropicDiffusion
-
gradientAnisotropicDiffusion
-
gradientAnisotropicDiffusion
-
gradient
-
gradient
-
gradient
-
gradientMagnitude
-
gradientMagnitude
-
gradientMagnitudeRecursiveGaussian
-
gradientMagnitudeRecursiveGaussian
-
gradientMagnitudeRecursiveGaussian
-
gradientRecursiveGaussian
-
gradientRecursiveGaussian
-
gradientRecursiveGaussian
-
gradientRecursiveGaussian
-
grayscaleConnectedClosing
public static Image grayscaleConnectedClosing(Image image1, VectorUInt32 seed, boolean fullyConnected) -
grayscaleConnectedClosing
-
grayscaleConnectedClosing
-
grayscaleConnectedOpening
public static Image grayscaleConnectedOpening(Image image1, VectorUInt32 seed, boolean fullyConnected) -
grayscaleConnectedOpening
-
grayscaleConnectedOpening
-
grayscaleDilate
-
grayscaleDilate
-
grayscaleDilate
-
grayscaleErode
-
grayscaleErode
-
grayscaleErode
-
grayscaleFillhole
-
grayscaleFillhole
-
grayscaleGeodesicDilate
-
grayscaleGeodesicDilate
-
grayscaleGeodesicDilate
-
grayscaleGeodesicErode
-
grayscaleGeodesicErode
-
grayscaleGeodesicErode
-
grayscaleGrindPeak
-
grayscaleGrindPeak
-
grayscaleMorphologicalClosing
public static Image grayscaleMorphologicalClosing(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, boolean safeBorder) -
grayscaleMorphologicalClosing
public static Image grayscaleMorphologicalClosing(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) -
grayscaleMorphologicalClosing
-
grayscaleMorphologicalClosing
-
grayscaleMorphologicalOpening
public static Image grayscaleMorphologicalOpening(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, boolean safeBorder) -
grayscaleMorphologicalOpening
public static Image grayscaleMorphologicalOpening(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) -
grayscaleMorphologicalOpening
-
grayscaleMorphologicalOpening
-
greaterEqual
public static Image greaterEqual(Image image1, Image image2, short backgroundValue, short foregroundValue) Image itk::simple::GreaterEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
greaterEqual
Image itk::simple::GreaterEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
greaterEqual
Image itk::simple::GreaterEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
greaterEqual
public static Image greaterEqual(Image image1, double constant, short backgroundValue, short foregroundValue) Image itk::simple::GreaterEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
greaterEqual
Image itk::simple::GreaterEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
greaterEqual
Image itk::simple::GreaterEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
greaterEqual
public static Image greaterEqual(double constant, Image image2, short backgroundValue, short foregroundValue) Image itk::simple::GreaterEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
greaterEqual
Image itk::simple::GreaterEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
greaterEqual
Image itk::simple::GreaterEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
greater
public static Image greater(Image image1, Image image2, short backgroundValue, short foregroundValue) Image itk::simple::Greater(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
greater
Image itk::simple::Greater(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
greater
Image itk::simple::Greater(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
greater
public static Image greater(Image image1, double constant, short backgroundValue, short foregroundValue) Image itk::simple::Greater(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
greater
Image itk::simple::Greater(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
greater
Image itk::simple::Greater(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
greater
public static Image greater(double constant, Image image2, short backgroundValue, short foregroundValue) Image itk::simple::Greater(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
greater
Image itk::simple::Greater(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
greater
Image itk::simple::Greater(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
gridSource
public static Image gridSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble gridSpacing, VectorDouble gridOffset, double scale, VectorDouble origin, VectorDouble spacing, VectorDouble direction, VectorBool whichDimensions) Image itk::simple::GridSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 0.5), std::vector< double > gridSpacing=std::vector< double >(3, 4.0), std::vector< double > gridOffset=std::vector< double >(3, 0.0), double scale=255.0, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), std::vector< bool > whichDimensions=std::vector< bool >(3, true)) Generate an n-dimensional image of a grid. This function directly calls the execute method of GridImageSource in order to support a procedural API See: itk::simple::GridImageSource for the object oriented interface -
gridSource
public static Image gridSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble gridSpacing, VectorDouble gridOffset, double scale, VectorDouble origin, VectorDouble spacing, VectorDouble direction) Image itk::simple::GridSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 0.5), std::vector< double > gridSpacing=std::vector< double >(3, 4.0), std::vector< double > gridOffset=std::vector< double >(3, 0.0), double scale=255.0, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), std::vector< bool > whichDimensions=std::vector< bool >(3, true)) Generate an n-dimensional image of a grid. This function directly calls the execute method of GridImageSource in order to support a procedural API See: itk::simple::GridImageSource for the object oriented interface -
gridSource
public static Image gridSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble gridSpacing, VectorDouble gridOffset, double scale, VectorDouble origin, VectorDouble spacing) Image itk::simple::GridSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 0.5), std::vector< double > gridSpacing=std::vector< double >(3, 4.0), std::vector< double > gridOffset=std::vector< double >(3, 0.0), double scale=255.0, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), std::vector< bool > whichDimensions=std::vector< bool >(3, true)) Generate an n-dimensional image of a grid. This function directly calls the execute method of GridImageSource in order to support a procedural API See: itk::simple::GridImageSource for the object oriented interface -
gridSource
public static Image gridSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble gridSpacing, VectorDouble gridOffset, double scale, VectorDouble origin) Image itk::simple::GridSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 0.5), std::vector< double > gridSpacing=std::vector< double >(3, 4.0), std::vector< double > gridOffset=std::vector< double >(3, 0.0), double scale=255.0, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), std::vector< bool > whichDimensions=std::vector< bool >(3, true)) Generate an n-dimensional image of a grid. This function directly calls the execute method of GridImageSource in order to support a procedural API See: itk::simple::GridImageSource for the object oriented interface -
gridSource
public static Image gridSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble gridSpacing, VectorDouble gridOffset, double scale) Image itk::simple::GridSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 0.5), std::vector< double > gridSpacing=std::vector< double >(3, 4.0), std::vector< double > gridOffset=std::vector< double >(3, 0.0), double scale=255.0, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), std::vector< bool > whichDimensions=std::vector< bool >(3, true)) Generate an n-dimensional image of a grid. This function directly calls the execute method of GridImageSource in order to support a procedural API See: itk::simple::GridImageSource for the object oriented interface -
gridSource
public static Image gridSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble gridSpacing, VectorDouble gridOffset) Image itk::simple::GridSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 0.5), std::vector< double > gridSpacing=std::vector< double >(3, 4.0), std::vector< double > gridOffset=std::vector< double >(3, 0.0), double scale=255.0, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), std::vector< bool > whichDimensions=std::vector< bool >(3, true)) Generate an n-dimensional image of a grid. This function directly calls the execute method of GridImageSource in order to support a procedural API See: itk::simple::GridImageSource for the object oriented interface -
gridSource
public static Image gridSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble gridSpacing) Image itk::simple::GridSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 0.5), std::vector< double > gridSpacing=std::vector< double >(3, 4.0), std::vector< double > gridOffset=std::vector< double >(3, 0.0), double scale=255.0, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), std::vector< bool > whichDimensions=std::vector< bool >(3, true)) Generate an n-dimensional image of a grid. This function directly calls the execute method of GridImageSource in order to support a procedural API See: itk::simple::GridImageSource for the object oriented interface -
gridSource
public static Image gridSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma) Image itk::simple::GridSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 0.5), std::vector< double > gridSpacing=std::vector< double >(3, 4.0), std::vector< double > gridOffset=std::vector< double >(3, 0.0), double scale=255.0, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), std::vector< bool > whichDimensions=std::vector< bool >(3, true)) Generate an n-dimensional image of a grid. This function directly calls the execute method of GridImageSource in order to support a procedural API See: itk::simple::GridImageSource for the object oriented interface -
gridSource
Image itk::simple::GridSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 0.5), std::vector< double > gridSpacing=std::vector< double >(3, 4.0), std::vector< double > gridOffset=std::vector< double >(3, 0.0), double scale=255.0, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), std::vector< bool > whichDimensions=std::vector< bool >(3, true)) Generate an n-dimensional image of a grid. This function directly calls the execute method of GridImageSource in order to support a procedural API See: itk::simple::GridImageSource for the object oriented interface -
gridSource
Image itk::simple::GridSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 0.5), std::vector< double > gridSpacing=std::vector< double >(3, 4.0), std::vector< double > gridOffset=std::vector< double >(3, 0.0), double scale=255.0, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), std::vector< bool > whichDimensions=std::vector< bool >(3, true)) Generate an n-dimensional image of a grid. This function directly calls the execute method of GridImageSource in order to support a procedural API See: itk::simple::GridImageSource for the object oriented interface -
gridSource
Image itk::simple::GridSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 0.5), std::vector< double > gridSpacing=std::vector< double >(3, 4.0), std::vector< double > gridOffset=std::vector< double >(3, 0.0), double scale=255.0, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), std::vector< bool > whichDimensions=std::vector< bool >(3, true)) Generate an n-dimensional image of a grid. This function directly calls the execute method of GridImageSource in order to support a procedural API See: itk::simple::GridImageSource for the object oriented interface -
hConcave
-
hConcave
-
hConcave
-
hConvex
-
hConvex
-
hConvex
-
hMaxima
-
hMaxima
-
hMinima
-
hMinima
-
hMinima
-
halfHermitianToRealInverseFFT
-
halfHermitianToRealInverseFFT
-
histogramMatching
-
histogramMatching
-
histogramMatching
-
histogramMatching
-
huangThreshold
-
huangThreshold
-
huangThreshold
-
huangThreshold
-
huangThreshold
-
huangThreshold
-
huangThreshold
-
huangThreshold
-
huangThreshold
-
huangThreshold
-
huangThreshold
-
huangThreshold
-
intensityWindowing
-
intensityWindowing
-
intensityWindowing
-
intensityWindowing
-
intensityWindowing
-
intermodesThreshold
-
intermodesThreshold
-
intermodesThreshold
-
intermodesThreshold
-
intermodesThreshold
-
intermodesThreshold
-
intermodesThreshold
-
intermodesThreshold
-
intermodesThreshold
-
intermodesThreshold
-
intermodesThreshold
-
intermodesThreshold
-
inverseDeconvolution
public static Image inverseDeconvolution(Image image1, Image image2, double kernelZeroMagnitudeThreshold, boolean normalize, InverseDeconvolutionImageFilter.BoundaryConditionType boundaryCondition, InverseDeconvolutionImageFilter.OutputRegionModeType outputRegionMode) -
inverseDeconvolution
public static Image inverseDeconvolution(Image image1, Image image2, double kernelZeroMagnitudeThreshold, boolean normalize, InverseDeconvolutionImageFilter.BoundaryConditionType boundaryCondition) -
inverseDeconvolution
-
inverseDeconvolution
-
inverseDeconvolution
-
inverseDisplacementField
public static Image inverseDisplacementField(Image image1, VectorUInt32 size, VectorDouble outputOrigin, VectorDouble outputSpacing, long subsamplingFactor) -
inverseDisplacementField
public static Image inverseDisplacementField(Image image1, VectorUInt32 size, VectorDouble outputOrigin, VectorDouble outputSpacing) -
inverseDisplacementField
public static Image inverseDisplacementField(Image image1, VectorUInt32 size, VectorDouble outputOrigin) -
inverseDisplacementField
-
inverseDisplacementField
-
inverseFFT
-
invertDisplacementField
-
invertDisplacementField
-
invertDisplacementField
-
invertDisplacementField
-
invertDisplacementField
-
invertIntensity
-
invertIntensity
-
isoContourDistance
-
isoContourDistance
-
isoContourDistance
-
isoDataThreshold
-
isoDataThreshold
-
isoDataThreshold
-
isoDataThreshold
-
isoDataThreshold
-
isoDataThreshold
-
isoDataThreshold
-
isoDataThreshold
-
isoDataThreshold
-
isoDataThreshold
-
isoDataThreshold
-
isoDataThreshold
-
isolatedConnected
public static Image isolatedConnected(Image image1, VectorUInt32 seed1, VectorUInt32 seed2, double lower, double upper, short replaceValue, double isolatedValueTolerance, boolean findUpperThreshold) -
isolatedConnected
public static Image isolatedConnected(Image image1, VectorUInt32 seed1, VectorUInt32 seed2, double lower, double upper, short replaceValue, double isolatedValueTolerance) -
isolatedConnected
public static Image isolatedConnected(Image image1, VectorUInt32 seed1, VectorUInt32 seed2, double lower, double upper, short replaceValue) -
isolatedConnected
public static Image isolatedConnected(Image image1, VectorUInt32 seed1, VectorUInt32 seed2, double lower, double upper) -
isolatedConnected
public static Image isolatedConnected(Image image1, VectorUInt32 seed1, VectorUInt32 seed2, double lower) -
isolatedConnected
-
isolatedConnected
-
isolatedConnected
-
isolatedWatershed
public static Image isolatedWatershed(Image image1, VectorUInt32 seed1, VectorUInt32 seed2, double threshold, double upperValueLimit, double isolatedValueTolerance, short replaceValue1, short replaceValue2) -
isolatedWatershed
public static Image isolatedWatershed(Image image1, VectorUInt32 seed1, VectorUInt32 seed2, double threshold, double upperValueLimit, double isolatedValueTolerance, short replaceValue1) -
isolatedWatershed
public static Image isolatedWatershed(Image image1, VectorUInt32 seed1, VectorUInt32 seed2, double threshold, double upperValueLimit, double isolatedValueTolerance) -
isolatedWatershed
public static Image isolatedWatershed(Image image1, VectorUInt32 seed1, VectorUInt32 seed2, double threshold, double upperValueLimit) -
isolatedWatershed
public static Image isolatedWatershed(Image image1, VectorUInt32 seed1, VectorUInt32 seed2, double threshold) -
isolatedWatershed
-
isolatedWatershed
-
isolatedWatershed
-
iterativeInverseDisplacementField
-
iterativeInverseDisplacementField
-
iterativeInverseDisplacementField
-
joinSeries
-
joinSeries
-
joinSeries
-
joinSeries
-
joinSeries
-
joinSeries
-
joinSeries
-
joinSeries
-
joinSeries
-
joinSeries
-
joinSeries
-
joinSeries
-
joinSeries
-
joinSeries
-
joinSeries
-
joinSeries
-
joinSeries
-
joinSeries
-
kittlerIllingworthThreshold
-
kittlerIllingworthThreshold
-
kittlerIllingworthThreshold
-
kittlerIllingworthThreshold
-
kittlerIllingworthThreshold
-
kittlerIllingworthThreshold
-
kittlerIllingworthThreshold
-
kittlerIllingworthThreshold
-
kittlerIllingworthThreshold
-
kittlerIllingworthThreshold
-
kittlerIllingworthThreshold
-
kittlerIllingworthThreshold
-
labelContour
-
labelContour
-
labelContour
-
labelImageToLabelMap
-
labelImageToLabelMap
-
labelMapContourOverlay
public static Image labelMapContourOverlay(Image labelMapImage, Image featureImage, double opacity, VectorUInt32 dilationRadius, VectorUInt32 contourThickness, long sliceDimension, LabelMapContourOverlayImageFilter.ContourTypeType contourType, LabelMapContourOverlayImageFilter.PriorityType priority, VectorUInt8 colormap) -
labelMapContourOverlay
public static Image labelMapContourOverlay(Image labelMapImage, Image featureImage, double opacity, VectorUInt32 dilationRadius, VectorUInt32 contourThickness, long sliceDimension, LabelMapContourOverlayImageFilter.ContourTypeType contourType, LabelMapContourOverlayImageFilter.PriorityType priority) -
labelMapContourOverlay
public static Image labelMapContourOverlay(Image labelMapImage, Image featureImage, double opacity, VectorUInt32 dilationRadius, VectorUInt32 contourThickness, long sliceDimension, LabelMapContourOverlayImageFilter.ContourTypeType contourType) -
labelMapContourOverlay
public static Image labelMapContourOverlay(Image labelMapImage, Image featureImage, double opacity, VectorUInt32 dilationRadius, VectorUInt32 contourThickness, long sliceDimension) -
labelMapContourOverlay
public static Image labelMapContourOverlay(Image labelMapImage, Image featureImage, double opacity, VectorUInt32 dilationRadius, VectorUInt32 contourThickness) -
labelMapContourOverlay
public static Image labelMapContourOverlay(Image labelMapImage, Image featureImage, double opacity, VectorUInt32 dilationRadius) -
labelMapContourOverlay
-
labelMapContourOverlay
-
labelMapMask
public static Image labelMapMask(Image labelMapImage, Image featureImage, long label, double backgroundValue, boolean negated, boolean crop, VectorUInt32 cropBorder) -
labelMapMask
-
labelMapMask
-
labelMapMask
-
labelMapMask
-
labelMapMask
-
labelMapOverlay
public static Image labelMapOverlay(Image labelMapImage, Image featureImage, double opacity, VectorUInt8 colormap) -
labelMapOverlay
-
labelMapOverlay
-
labelMapToBinary
-
labelMapToBinary
-
labelMapToBinary
-
labelMapToLabel
-
labelMapToRGB
-
labelMapToRGB
-
labelOverlay
public static Image labelOverlay(Image image, Image labelImage, double opacity, double backgroundValue, VectorUInt8 colormap) -
labelOverlay
-
labelOverlay
-
labelOverlay
-
labelToRGB
-
labelToRGB
-
labelToRGB
-
labelUniqueLabelMap
-
labelUniqueLabelMap
-
labelVoting
-
labelVoting
-
labelVoting
-
labelVoting
-
labelVoting
-
labelVoting
-
labelVoting
-
labelVoting
-
labelVoting
-
labelVoting
-
labelVoting
-
labelVoting
-
landweberDeconvolution
public static Image landweberDeconvolution(Image image1, Image image2, double alpha, int numberOfIterations, boolean normalize, LandweberDeconvolutionImageFilter.BoundaryConditionType boundaryCondition, LandweberDeconvolutionImageFilter.OutputRegionModeType outputRegionMode) -
landweberDeconvolution
public static Image landweberDeconvolution(Image image1, Image image2, double alpha, int numberOfIterations, boolean normalize, LandweberDeconvolutionImageFilter.BoundaryConditionType boundaryCondition) -
landweberDeconvolution
-
landweberDeconvolution
-
landweberDeconvolution
-
landweberDeconvolution
-
laplacian
-
laplacian
-
laplacianRecursiveGaussian
-
laplacianRecursiveGaussian
-
laplacianRecursiveGaussian
-
laplacianSegmentationLevelSet
-
laplacianSegmentationLevelSet
-
laplacianSegmentationLevelSet
-
laplacianSegmentationLevelSet
-
laplacianSegmentationLevelSet
-
laplacianSegmentationLevelSet
-
laplacianSharpening
-
laplacianSharpening
-
lessEqual
public static Image lessEqual(Image image1, Image image2, short backgroundValue, short foregroundValue) Image itk::simple::LessEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
lessEqual
Image itk::simple::LessEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
lessEqual
Image itk::simple::LessEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
lessEqual
public static Image lessEqual(Image image1, double constant, short backgroundValue, short foregroundValue) Image itk::simple::LessEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
lessEqual
Image itk::simple::LessEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
lessEqual
Image itk::simple::LessEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
lessEqual
public static Image lessEqual(double constant, Image image2, short backgroundValue, short foregroundValue) Image itk::simple::LessEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
lessEqual
Image itk::simple::LessEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
lessEqual
Image itk::simple::LessEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
less
Image itk::simple::Less(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
less
Image itk::simple::Less(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
less
Image itk::simple::Less(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
less
public static Image less(Image image1, double constant, short backgroundValue, short foregroundValue) Image itk::simple::Less(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
less
Image itk::simple::Less(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
less
Image itk::simple::Less(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
less
public static Image less(double constant, Image image2, short backgroundValue, short foregroundValue) Image itk::simple::Less(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
less
Image itk::simple::Less(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
less
Image itk::simple::Less(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
liThreshold
-
liThreshold
-
liThreshold
-
liThreshold
-
liThreshold
-
liThreshold
-
liThreshold
-
liThreshold
-
liThreshold
-
liThreshold
-
liThreshold
-
liThreshold
-
log10
-
log
-
magnitudeAndPhaseToComplex
Image itk::simple::MagnitudeAndPhaseToComplex(Image &&image1, double constant) -
magnitudeAndPhaseToComplex
Image itk::simple::MagnitudeAndPhaseToComplex(Image &&image1, double constant) -
magnitudeAndPhaseToComplex
Image itk::simple::MagnitudeAndPhaseToComplex(Image &&image1, double constant) -
mask
-
mask
-
mask
-
maskNegated
-
maskNegated
-
maskNegated
-
maskedAssign
-
maskedAssign
-
maskedAssign
-
maskedAssign
-
maskedFFTNormalizedCorrelation
-
maskedFFTNormalizedCorrelation
-
maskedFFTNormalizedCorrelation
-
maximumEntropyThreshold
-
maximumEntropyThreshold
-
maximumEntropyThreshold
-
maximumEntropyThreshold
-
maximumEntropyThreshold
-
maximumEntropyThreshold
-
maximumEntropyThreshold
-
maximumEntropyThreshold
-
maximumEntropyThreshold
-
maximumEntropyThreshold
-
maximumEntropyThreshold
-
maximumEntropyThreshold
-
maximum
Image itk::simple::Maximum(Image &&image1, double constant) -
maximum
Image itk::simple::Maximum(Image &&image1, double constant) -
maximum
Image itk::simple::Maximum(Image &&image1, double constant) -
maximumProjection
-
maximumProjection
-
mean
-
mean
-
meanProjection
-
meanProjection
-
median
-
median
-
medianProjection
-
medianProjection
-
mergeLabelMap
-
mergeLabelMap
-
mergeLabelMap
-
mergeLabelMap
-
mergeLabelMap
public static Image mergeLabelMap(Image image1, Image image2, MergeLabelMapFilter.MethodType method) -
mergeLabelMap
-
mergeLabelMap
public static Image mergeLabelMap(Image image1, Image image2, Image image3, MergeLabelMapFilter.MethodType method) -
mergeLabelMap
-
mergeLabelMap
-
mergeLabelMap
-
mergeLabelMap
-
mergeLabelMap
-
minMaxCurvatureFlow
-
minMaxCurvatureFlow
-
minMaxCurvatureFlow
-
minMaxCurvatureFlow
-
minimum
Image itk::simple::Minimum(Image &&image1, double constant) -
minimum
Image itk::simple::Minimum(Image &&image1, double constant) -
minimum
Image itk::simple::Minimum(Image &&image1, double constant) -
minimumProjection
-
minimumProjection
-
mirrorPad
public static Image mirrorPad(Image image1, VectorUInt32 padLowerBound, VectorUInt32 padUpperBound, double decayBase) -
mirrorPad
-
mirrorPad
-
mirrorPad
-
modulus
Image itk::simple::Modulus(uint32_t constant, const Image &image2) -
modulus
Image itk::simple::Modulus(uint32_t constant, const Image &image2) -
modulus
Image itk::simple::Modulus(uint32_t constant, const Image &image2) -
momentsThreshold
-
momentsThreshold
-
momentsThreshold
-
momentsThreshold
-
momentsThreshold
-
momentsThreshold
-
momentsThreshold
-
momentsThreshold
-
momentsThreshold
-
momentsThreshold
-
momentsThreshold
-
momentsThreshold
-
morphologicalGradient
public static Image morphologicalGradient(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) -
morphologicalGradient
-
morphologicalGradient
-
morphologicalWatershedFromMarkers
-
morphologicalWatershedFromMarkers
-
morphologicalWatershedFromMarkers
-
morphologicalWatershed
-
morphologicalWatershed
-
morphologicalWatershed
-
morphologicalWatershed
-
multiLabelSTAPLE
public static Image multiLabelSTAPLE(VectorOfImage images, long labelForUndecidedPixels, float terminationUpdateThreshold, long maximumNumberOfIterations, VectorFloat priorProbabilities) -
multiLabelSTAPLE
public static Image multiLabelSTAPLE(VectorOfImage images, long labelForUndecidedPixels, float terminationUpdateThreshold, long maximumNumberOfIterations) -
multiLabelSTAPLE
public static Image multiLabelSTAPLE(VectorOfImage images, long labelForUndecidedPixels, float terminationUpdateThreshold) -
multiLabelSTAPLE
-
multiLabelSTAPLE
-
multiLabelSTAPLE
public static Image multiLabelSTAPLE(Image image1, long labelForUndecidedPixels, float terminationUpdateThreshold, long maximumNumberOfIterations, VectorFloat priorProbabilities) -
multiLabelSTAPLE
-
multiLabelSTAPLE
-
multiLabelSTAPLE
-
multiLabelSTAPLE
-
multiLabelSTAPLE
public static Image multiLabelSTAPLE(Image image1, Image image2, long labelForUndecidedPixels, float terminationUpdateThreshold, long maximumNumberOfIterations, VectorFloat priorProbabilities) -
multiLabelSTAPLE
-
multiLabelSTAPLE
-
multiLabelSTAPLE
-
multiLabelSTAPLE
-
multiLabelSTAPLE
public static Image multiLabelSTAPLE(Image image1, Image image2, Image image3, long labelForUndecidedPixels, float terminationUpdateThreshold, long maximumNumberOfIterations, VectorFloat priorProbabilities) -
multiLabelSTAPLE
-
multiLabelSTAPLE
-
multiLabelSTAPLE
-
multiLabelSTAPLE
-
multiLabelSTAPLE
-
multiLabelSTAPLE
-
multiLabelSTAPLE
-
multiLabelSTAPLE
-
multiLabelSTAPLE
-
multiLabelSTAPLE
-
multiLabelSTAPLE
-
multiLabelSTAPLE
-
multiLabelSTAPLE
-
multiLabelSTAPLE
-
multiply
Image itk::simple::Multiply(Image &&image1, double constant) -
multiply
Image itk::simple::Multiply(Image &&image1, double constant) -
multiply
Image itk::simple::Multiply(Image &&image1, double constant) -
n4BiasFieldCorrection
public static Image n4BiasFieldCorrection(Image image, Image maskImage, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum, double wienerFilterNoise, long numberOfHistogramBins, VectorUInt32 numberOfControlPoints, long splineOrder, boolean useMaskLabel, short maskLabel) -
n4BiasFieldCorrection
public static Image n4BiasFieldCorrection(Image image, Image maskImage, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum, double wienerFilterNoise, long numberOfHistogramBins, VectorUInt32 numberOfControlPoints, long splineOrder, boolean useMaskLabel) -
n4BiasFieldCorrection
public static Image n4BiasFieldCorrection(Image image, Image maskImage, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum, double wienerFilterNoise, long numberOfHistogramBins, VectorUInt32 numberOfControlPoints, long splineOrder) -
n4BiasFieldCorrection
public static Image n4BiasFieldCorrection(Image image, Image maskImage, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum, double wienerFilterNoise, long numberOfHistogramBins, VectorUInt32 numberOfControlPoints) -
n4BiasFieldCorrection
public static Image n4BiasFieldCorrection(Image image, Image maskImage, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum, double wienerFilterNoise, long numberOfHistogramBins) -
n4BiasFieldCorrection
public static Image n4BiasFieldCorrection(Image image, Image maskImage, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum, double wienerFilterNoise) -
n4BiasFieldCorrection
public static Image n4BiasFieldCorrection(Image image, Image maskImage, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum) -
n4BiasFieldCorrection
public static Image n4BiasFieldCorrection(Image image, Image maskImage, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations) -
n4BiasFieldCorrection
-
n4BiasFieldCorrection
-
n4BiasFieldCorrection
public static Image n4BiasFieldCorrection(Image image, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum, double wienerFilterNoise, long numberOfHistogramBins, VectorUInt32 numberOfControlPoints, long splineOrder, boolean useMaskLabel, short maskLabel) -
n4BiasFieldCorrection
public static Image n4BiasFieldCorrection(Image image, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum, double wienerFilterNoise, long numberOfHistogramBins, VectorUInt32 numberOfControlPoints, long splineOrder, boolean useMaskLabel) -
n4BiasFieldCorrection
public static Image n4BiasFieldCorrection(Image image, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum, double wienerFilterNoise, long numberOfHistogramBins, VectorUInt32 numberOfControlPoints, long splineOrder) -
n4BiasFieldCorrection
public static Image n4BiasFieldCorrection(Image image, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum, double wienerFilterNoise, long numberOfHistogramBins, VectorUInt32 numberOfControlPoints) -
n4BiasFieldCorrection
public static Image n4BiasFieldCorrection(Image image, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum, double wienerFilterNoise, long numberOfHistogramBins) -
n4BiasFieldCorrection
public static Image n4BiasFieldCorrection(Image image, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum, double wienerFilterNoise) -
n4BiasFieldCorrection
public static Image n4BiasFieldCorrection(Image image, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum) -
n4BiasFieldCorrection
public static Image n4BiasFieldCorrection(Image image, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations) -
n4BiasFieldCorrection
-
n4BiasFieldCorrection
-
naryAdd
-
naryAdd
-
naryAdd
-
naryAdd
-
naryAdd
-
naryAdd
-
naryMaximum
-
naryMaximum
-
naryMaximum
-
naryMaximum
-
naryMaximum
-
naryMaximum
-
neighborhoodConnected
public static Image neighborhoodConnected(Image image1, VectorUIntList seedList, double lower, double upper, VectorUInt32 radius, double replaceValue) -
neighborhoodConnected
public static Image neighborhoodConnected(Image image1, VectorUIntList seedList, double lower, double upper, VectorUInt32 radius) -
neighborhoodConnected
public static Image neighborhoodConnected(Image image1, VectorUIntList seedList, double lower, double upper) -
neighborhoodConnected
-
neighborhoodConnected
-
neighborhoodConnected
-
noise
-
noise
-
normalize
-
normalizeToConstant
-
normalizeToConstant
-
normalizedCorrelation
-
notEqual
public static Image notEqual(Image image1, Image image2, short backgroundValue, short foregroundValue) Image itk::simple::NotEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
notEqual
Image itk::simple::NotEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
notEqual
Image itk::simple::NotEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
notEqual
public static Image notEqual(Image image1, double constant, short backgroundValue, short foregroundValue) Image itk::simple::NotEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
notEqual
Image itk::simple::NotEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
notEqual
Image itk::simple::NotEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
notEqual
public static Image notEqual(double constant, Image image2, short backgroundValue, short foregroundValue) Image itk::simple::NotEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
notEqual
Image itk::simple::NotEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
notEqual
Image itk::simple::NotEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) -
not
-
objectnessMeasure
-
objectnessMeasure
-
objectnessMeasure
-
objectnessMeasure
-
objectnessMeasure
-
objectnessMeasure
-
objectnessMeasure
-
openingByReconstruction
public static Image openingByReconstruction(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, boolean fullyConnected, boolean preserveIntensities) -
openingByReconstruction
public static Image openingByReconstruction(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, boolean fullyConnected) -
openingByReconstruction
public static Image openingByReconstruction(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) -
openingByReconstruction
-
openingByReconstruction
-
or
Image itk::simple::Or(int constant, const Image &image2) -
or
Image itk::simple::Or(int constant, const Image &image2) -
or
Image itk::simple::Or(int constant, const Image &image2) -
otsuMultipleThresholds
-
otsuMultipleThresholds
-
otsuMultipleThresholds
-
otsuMultipleThresholds
-
otsuMultipleThresholds
-
otsuMultipleThresholds
-
otsuThreshold
-
otsuThreshold
-
otsuThreshold
-
otsuThreshold
-
otsuThreshold
-
otsuThreshold
-
otsuThreshold
-
otsuThreshold
-
otsuThreshold
-
otsuThreshold
-
otsuThreshold
-
otsuThreshold
-
otsuThreshold
-
otsuThreshold
-
permuteAxes
-
permuteAxes
-
physicalPointSource
public static Image physicalPointSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble origin, VectorDouble spacing, VectorDouble direction) Image itk::simple::PhysicalPointSource(PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an image of the physical locations of each pixel. This function directly calls the execute method of PhysicalPointImageSource in order to support a procedural API See: itk::simple::PhysicalPointImageSource for the object oriented interface -
physicalPointSource
public static Image physicalPointSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble origin, VectorDouble spacing) Image itk::simple::PhysicalPointSource(PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an image of the physical locations of each pixel. This function directly calls the execute method of PhysicalPointImageSource in order to support a procedural API See: itk::simple::PhysicalPointImageSource for the object oriented interface -
physicalPointSource
public static Image physicalPointSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble origin) Image itk::simple::PhysicalPointSource(PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an image of the physical locations of each pixel. This function directly calls the execute method of PhysicalPointImageSource in order to support a procedural API See: itk::simple::PhysicalPointImageSource for the object oriented interface -
physicalPointSource
Image itk::simple::PhysicalPointSource(PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an image of the physical locations of each pixel. This function directly calls the execute method of PhysicalPointImageSource in order to support a procedural API See: itk::simple::PhysicalPointImageSource for the object oriented interface -
physicalPointSource
Image itk::simple::PhysicalPointSource(PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an image of the physical locations of each pixel. This function directly calls the execute method of PhysicalPointImageSource in order to support a procedural API See: itk::simple::PhysicalPointImageSource for the object oriented interface -
physicalPointSource
Image itk::simple::PhysicalPointSource(PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an image of the physical locations of each pixel. This function directly calls the execute method of PhysicalPointImageSource in order to support a procedural API See: itk::simple::PhysicalPointImageSource for the object oriented interface -
pow
Image itk::simple::Pow(Image &&image1, double constant) -
pow
Image itk::simple::Pow(Image &&image1, double constant) -
pow
Image itk::simple::Pow(Image &&image1, double constant) -
projectedLandweberDeconvolution
public static Image projectedLandweberDeconvolution(Image image1, Image image2, double alpha, int numberOfIterations, boolean normalize, ProjectedLandweberDeconvolutionImageFilter.BoundaryConditionType boundaryCondition, ProjectedLandweberDeconvolutionImageFilter.OutputRegionModeType outputRegionMode) -
projectedLandweberDeconvolution
public static Image projectedLandweberDeconvolution(Image image1, Image image2, double alpha, int numberOfIterations, boolean normalize, ProjectedLandweberDeconvolutionImageFilter.BoundaryConditionType boundaryCondition) -
projectedLandweberDeconvolution
-
projectedLandweberDeconvolution
-
projectedLandweberDeconvolution
-
projectedLandweberDeconvolution
-
rank
-
rank
-
rank
-
rank
-
realAndImaginaryToComplex
-
realToHalfHermitianForwardFFT
-
reconstructionByDilation
-
reconstructionByDilation
-
reconstructionByDilation
-
reconstructionByErosion
-
reconstructionByErosion
-
reconstructionByErosion
-
recursiveGaussian
public static Image recursiveGaussian(Image image1, double sigma, boolean normalizeAcrossScale, RecursiveGaussianImageFilter.OrderType order, long direction) -
recursiveGaussian
public static Image recursiveGaussian(Image image1, double sigma, boolean normalizeAcrossScale, RecursiveGaussianImageFilter.OrderType order) -
recursiveGaussian
-
recursiveGaussian
-
recursiveGaussian
-
regionOfInterest
-
regionOfInterest
-
regionOfInterest
-
regionalMaxima
-
regionalMaxima
-
regionalMaxima
-
regionalMaxima
-
regionalMaxima
-
regionalMinima
-
regionalMinima
-
regionalMinima
-
regionalMinima
-
regionalMinima
-
relabelComponent
-
relabelComponent
-
relabelComponent
-
relabelLabelMap
-
relabelLabelMap
-
renyiEntropyThreshold
-
renyiEntropyThreshold
-
renyiEntropyThreshold
-
renyiEntropyThreshold
-
renyiEntropyThreshold
-
renyiEntropyThreshold
-
renyiEntropyThreshold
-
renyiEntropyThreshold
-
renyiEntropyThreshold
-
renyiEntropyThreshold
-
renyiEntropyThreshold
-
renyiEntropyThreshold
-
rescaleIntensity
-
rescaleIntensity
-
rescaleIntensity
-
richardsonLucyDeconvolution
public static Image richardsonLucyDeconvolution(Image image1, Image image2, int numberOfIterations, boolean normalize, RichardsonLucyDeconvolutionImageFilter.BoundaryConditionType boundaryCondition, RichardsonLucyDeconvolutionImageFilter.OutputRegionModeType outputRegionMode) -
richardsonLucyDeconvolution
public static Image richardsonLucyDeconvolution(Image image1, Image image2, int numberOfIterations, boolean normalize, RichardsonLucyDeconvolutionImageFilter.BoundaryConditionType boundaryCondition) -
richardsonLucyDeconvolution
-
richardsonLucyDeconvolution
-
richardsonLucyDeconvolution
-
round
-
sLIC
public static Image sLIC(Image image1, VectorUInt32 superGridSize, double spatialProximityWeight, long maximumNumberOfIterations, boolean enforceConnectivity, boolean initializationPerturbation) -
sLIC
public static Image sLIC(Image image1, VectorUInt32 superGridSize, double spatialProximityWeight, long maximumNumberOfIterations, boolean enforceConnectivity) -
sLIC
public static Image sLIC(Image image1, VectorUInt32 superGridSize, double spatialProximityWeight, long maximumNumberOfIterations) -
sLIC
-
sLIC
-
sLIC
-
sTAPLE
public static Image sTAPLE(VectorOfImage images, double confidenceWeight, double foregroundValue, long maximumIterations) -
sTAPLE
-
sTAPLE
-
sTAPLE
-
sTAPLE
-
sTAPLE
-
sTAPLE
-
sTAPLE
-
sTAPLE
-
sTAPLE
-
sTAPLE
-
sTAPLE
-
sTAPLE
-
sTAPLE
-
sTAPLE
-
sTAPLE
-
sTAPLE
-
sTAPLE
-
sTAPLE
-
sTAPLE
-
sTAPLE
-
sTAPLE
-
sTAPLE
-
sTAPLE
-
saltAndPepperNoise
-
saltAndPepperNoise
-
saltAndPepperNoise
-
scalarChanAndVeseDenseLevelSet
public static Image scalarChanAndVeseDenseLevelSet(Image initialImage, Image featureImage, double maximumRMSError, long numberOfIterations, double lambda1, double lambda2, double epsilon, double curvatureWeight, double areaWeight, double reinitializationSmoothingWeight, double volume, double volumeMatchingWeight, ScalarChanAndVeseDenseLevelSetImageFilter.HeavisideStepFunctionType heavisideStepFunction, boolean useImageSpacing) -
scalarChanAndVeseDenseLevelSet
public static Image scalarChanAndVeseDenseLevelSet(Image initialImage, Image featureImage, double maximumRMSError, long numberOfIterations, double lambda1, double lambda2, double epsilon, double curvatureWeight, double areaWeight, double reinitializationSmoothingWeight, double volume, double volumeMatchingWeight, ScalarChanAndVeseDenseLevelSetImageFilter.HeavisideStepFunctionType heavisideStepFunction) -
scalarChanAndVeseDenseLevelSet
public static Image scalarChanAndVeseDenseLevelSet(Image initialImage, Image featureImage, double maximumRMSError, long numberOfIterations, double lambda1, double lambda2, double epsilon, double curvatureWeight, double areaWeight, double reinitializationSmoothingWeight, double volume, double volumeMatchingWeight) -
scalarChanAndVeseDenseLevelSet
-
scalarChanAndVeseDenseLevelSet
-
scalarChanAndVeseDenseLevelSet
-
scalarChanAndVeseDenseLevelSet
-
scalarChanAndVeseDenseLevelSet
-
scalarChanAndVeseDenseLevelSet
-
scalarChanAndVeseDenseLevelSet
-
scalarChanAndVeseDenseLevelSet
-
scalarChanAndVeseDenseLevelSet
-
scalarChanAndVeseDenseLevelSet
-
scalarConnectedComponent
-
scalarConnectedComponent
-
scalarConnectedComponent
-
scalarConnectedComponent
-
scalarConnectedComponent
-
scalarConnectedComponent
-
scalarImageKmeans
public static Image scalarImageKmeans(Image image1, VectorDouble classWithInitialMean, boolean useNonContiguousLabels) -
scalarImageKmeans
-
scalarImageKmeans
-
scalarToRGBColormap
public static Image scalarToRGBColormap(Image image1, ScalarToRGBColormapImageFilter.ColormapType colormap, boolean useInputImageExtremaForScaling) -
scalarToRGBColormap
public static Image scalarToRGBColormap(Image image1, ScalarToRGBColormapImageFilter.ColormapType colormap) -
scalarToRGBColormap
-
shanbhagThreshold
-
shanbhagThreshold
-
shanbhagThreshold
-
shanbhagThreshold
-
shanbhagThreshold
-
shanbhagThreshold
-
shanbhagThreshold
-
shanbhagThreshold
-
shanbhagThreshold
-
shanbhagThreshold
-
shanbhagThreshold
-
shanbhagThreshold
-
shapeDetectionLevelSet
-
shapeDetectionLevelSet
-
shapeDetectionLevelSet
-
shapeDetectionLevelSet
-
shapeDetectionLevelSet
-
shapeDetectionLevelSet
-
shiftScale
public static Image shiftScale(Image image1, double shift, double scale, PixelIDValueEnum outputPixelType) -
shiftScale
-
shiftScale
-
shiftScale
-
shotNoise
-
shotNoise
-
shotNoise
-
shrink
-
shrink
-
sigmoid
-
sigmoid
-
sigmoid
-
sigmoid
-
sigmoid
-
signedDanielssonDistanceMap
-
signedDanielssonDistanceMap
-
signedDanielssonDistanceMap
-
signedDanielssonDistanceMap
-
signedMaurerDistanceMap
-
signedMaurerDistanceMap
-
signedMaurerDistanceMap
-
signedMaurerDistanceMap
-
signedMaurerDistanceMap
-
simpleContourExtractor
public static Image simpleContourExtractor(Image image1, double inputForegroundValue, double inputBackgroundValue, VectorUInt32 radius, double outputForegroundValue, double outputBackgroundValue) -
simpleContourExtractor
public static Image simpleContourExtractor(Image image1, double inputForegroundValue, double inputBackgroundValue, VectorUInt32 radius, double outputForegroundValue) -
simpleContourExtractor
public static Image simpleContourExtractor(Image image1, double inputForegroundValue, double inputBackgroundValue, VectorUInt32 radius) -
simpleContourExtractor
-
simpleContourExtractor
-
simpleContourExtractor
-
sin
-
slice
-
slice
-
slice
-
slice
-
smoothingRecursiveGaussian
public static Image smoothingRecursiveGaussian(Image image1, VectorDouble sigma, boolean normalizeAcrossScale) Image itk::simple::SmoothingRecursiveGaussian(const Image &image1, double sigma, bool normalizeAcrossScale=false) Computes the smoothing of an image by convolution with the Gaussian kernels implemented as IIR filters. This function directly calls the execute method of SmoothingRecursiveGaussianImageFilter in order to support a procedural API See: itk::simple::SmoothingRecursiveGaussianImageFilter for the object oriented interface -
smoothingRecursiveGaussian
Image itk::simple::SmoothingRecursiveGaussian(const Image &image1, double sigma, bool normalizeAcrossScale=false) Computes the smoothing of an image by convolution with the Gaussian kernels implemented as IIR filters. This function directly calls the execute method of SmoothingRecursiveGaussianImageFilter in order to support a procedural API See: itk::simple::SmoothingRecursiveGaussianImageFilter for the object oriented interface -
smoothingRecursiveGaussian
Image itk::simple::SmoothingRecursiveGaussian(const Image &image1, double sigma, bool normalizeAcrossScale=false) Computes the smoothing of an image by convolution with the Gaussian kernels implemented as IIR filters. This function directly calls the execute method of SmoothingRecursiveGaussianImageFilter in order to support a procedural API See: itk::simple::SmoothingRecursiveGaussianImageFilter for the object oriented interface -
sobelEdgeDetection
-
speckleNoise
-
speckleNoise
-
speckleNoise
-
sqrt
-
square
-
squaredDifference
Image itk::simple::SquaredDifference(Image &&image1, double constant) -
squaredDifference
Image itk::simple::SquaredDifference(Image &&image1, double constant) -
squaredDifference
Image itk::simple::SquaredDifference(Image &&image1, double constant) -
standardDeviationProjection
-
standardDeviationProjection
-
stochasticFractalDimension
public static Image stochasticFractalDimension(Image image, Image maskImage, VectorUInt32 neighborhoodRadius) -
stochasticFractalDimension
-
stochasticFractalDimension
-
stochasticFractalDimension
-
subtract
Image itk::simple::Subtract(Image &&image1, double constant) -
subtract
Image itk::simple::Subtract(Image &&image1, double constant) -
subtract
Image itk::simple::Subtract(Image &&image1, double constant) -
sumProjection
-
sumProjection
-
tan
-
ternaryAdd
-
ternaryMagnitude
-
ternaryMagnitudeSquared
-
threshold
-
threshold
-
threshold
-
threshold
-
thresholdMaximumConnectedComponents
-
thresholdMaximumConnectedComponents
-
thresholdMaximumConnectedComponents
-
thresholdMaximumConnectedComponents
-
thresholdMaximumConnectedComponents
-
thresholdSegmentationLevelSet
-
thresholdSegmentationLevelSet
-
thresholdSegmentationLevelSet
-
thresholdSegmentationLevelSet
-
thresholdSegmentationLevelSet
-
thresholdSegmentationLevelSet
-
thresholdSegmentationLevelSet
-
thresholdSegmentationLevelSet
-
tikhonovDeconvolution
public static Image tikhonovDeconvolution(Image image1, Image image2, double regularizationConstant, boolean normalize, TikhonovDeconvolutionImageFilter.BoundaryConditionType boundaryCondition, TikhonovDeconvolutionImageFilter.OutputRegionModeType outputRegionMode) -
tikhonovDeconvolution
public static Image tikhonovDeconvolution(Image image1, Image image2, double regularizationConstant, boolean normalize, TikhonovDeconvolutionImageFilter.BoundaryConditionType boundaryCondition) -
tikhonovDeconvolution
-
tikhonovDeconvolution
-
tikhonovDeconvolution
-
tile
-
tile
-
tile
-
tile
-
tile
-
tile
-
tile
-
tile
-
tile
-
tile
public static Image tile(Image image1, Image image2, Image image3, VectorUInt32 layout, double defaultPixelValue) -
tile
-
tile
-
tile
-
tile
-
tile
-
tile
-
tile
-
tile
-
toboggan
-
transformGeometry
-
transformToDisplacementField
public static Image transformToDisplacementField(Transform transform, PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble outputOrigin, VectorDouble outputSpacing, VectorDouble outputDirection) Image itk::simple::TransformToDisplacementField(const Transform &transform, PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat64, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > outputOrigin=std::vector< double >(3, 0.0), std::vector< double > outputSpacing=std::vector< double >(3, 1.0), std::vector< double > outputDirection=std::vector< double >()) Generate a displacement field from a coordinate transform. This function directly calls the execute method of TransformToDisplacementFieldFilter in order to support a procedural API See: itk::simple::TransformToDisplacementFieldFilter for the object oriented interface -
transformToDisplacementField
public static Image transformToDisplacementField(Transform transform, PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble outputOrigin, VectorDouble outputSpacing) Image itk::simple::TransformToDisplacementField(const Transform &transform, PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat64, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > outputOrigin=std::vector< double >(3, 0.0), std::vector< double > outputSpacing=std::vector< double >(3, 1.0), std::vector< double > outputDirection=std::vector< double >()) Generate a displacement field from a coordinate transform. This function directly calls the execute method of TransformToDisplacementFieldFilter in order to support a procedural API See: itk::simple::TransformToDisplacementFieldFilter for the object oriented interface -
transformToDisplacementField
public static Image transformToDisplacementField(Transform transform, PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble outputOrigin) Image itk::simple::TransformToDisplacementField(const Transform &transform, PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat64, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > outputOrigin=std::vector< double >(3, 0.0), std::vector< double > outputSpacing=std::vector< double >(3, 1.0), std::vector< double > outputDirection=std::vector< double >()) Generate a displacement field from a coordinate transform. This function directly calls the execute method of TransformToDisplacementFieldFilter in order to support a procedural API See: itk::simple::TransformToDisplacementFieldFilter for the object oriented interface -
transformToDisplacementField
public static Image transformToDisplacementField(Transform transform, PixelIDValueEnum outputPixelType, VectorUInt32 size) Image itk::simple::TransformToDisplacementField(const Transform &transform, PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat64, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > outputOrigin=std::vector< double >(3, 0.0), std::vector< double > outputSpacing=std::vector< double >(3, 1.0), std::vector< double > outputDirection=std::vector< double >()) Generate a displacement field from a coordinate transform. This function directly calls the execute method of TransformToDisplacementFieldFilter in order to support a procedural API See: itk::simple::TransformToDisplacementFieldFilter for the object oriented interface -
transformToDisplacementField
public static Image transformToDisplacementField(Transform transform, PixelIDValueEnum outputPixelType) Image itk::simple::TransformToDisplacementField(const Transform &transform, PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat64, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > outputOrigin=std::vector< double >(3, 0.0), std::vector< double > outputSpacing=std::vector< double >(3, 1.0), std::vector< double > outputDirection=std::vector< double >()) Generate a displacement field from a coordinate transform. This function directly calls the execute method of TransformToDisplacementFieldFilter in order to support a procedural API See: itk::simple::TransformToDisplacementFieldFilter for the object oriented interface -
transformToDisplacementField
Image itk::simple::TransformToDisplacementField(const Transform &transform, PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat64, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > outputOrigin=std::vector< double >(3, 0.0), std::vector< double > outputSpacing=std::vector< double >(3, 1.0), std::vector< double > outputDirection=std::vector< double >()) Generate a displacement field from a coordinate transform. This function directly calls the execute method of TransformToDisplacementFieldFilter in order to support a procedural API See: itk::simple::TransformToDisplacementFieldFilter for the object oriented interface -
triangleThreshold
-
triangleThreshold
-
triangleThreshold
-
triangleThreshold
-
triangleThreshold
-
triangleThreshold
-
triangleThreshold
-
triangleThreshold
-
triangleThreshold
-
triangleThreshold
-
triangleThreshold
-
triangleThreshold
-
unaryMinus
-
unsharpMask
public static Image unsharpMask(Image image1, VectorDouble sigmas, double amount, double threshold, boolean clamp) -
unsharpMask
-
unsharpMask
-
unsharpMask
-
unsharpMask
-
valuedRegionalMaxima
-
valuedRegionalMaxima
-
valuedRegionalMinima
-
valuedRegionalMinima
-
vectorConfidenceConnected
public static Image vectorConfidenceConnected(Image image1, VectorUIntList seedList, long numberOfIterations, double multiplier, long initialNeighborhoodRadius, short replaceValue) -
vectorConfidenceConnected
public static Image vectorConfidenceConnected(Image image1, VectorUIntList seedList, long numberOfIterations, double multiplier, long initialNeighborhoodRadius) -
vectorConfidenceConnected
public static Image vectorConfidenceConnected(Image image1, VectorUIntList seedList, long numberOfIterations, double multiplier) -
vectorConfidenceConnected
public static Image vectorConfidenceConnected(Image image1, VectorUIntList seedList, long numberOfIterations) -
vectorConfidenceConnected
-
vectorConfidenceConnected
-
vectorConnectedComponent
-
vectorConnectedComponent
-
vectorConnectedComponent
-
vectorIndexSelectionCast
public static Image vectorIndexSelectionCast(Image image1, long index, PixelIDValueEnum outputPixelType) -
vectorIndexSelectionCast
-
vectorIndexSelectionCast
-
vectorMagnitude
-
votingBinaryHoleFilling
public static Image votingBinaryHoleFilling(Image image1, VectorUInt32 radius, long majorityThreshold, double foregroundValue, double backgroundValue) -
votingBinaryHoleFilling
public static Image votingBinaryHoleFilling(Image image1, VectorUInt32 radius, long majorityThreshold, double foregroundValue) -
votingBinaryHoleFilling
public static Image votingBinaryHoleFilling(Image image1, VectorUInt32 radius, long majorityThreshold) -
votingBinaryHoleFilling
-
votingBinaryHoleFilling
-
votingBinary
public static Image votingBinary(Image image1, VectorUInt32 radius, long birthThreshold, long survivalThreshold, double foregroundValue, double backgroundValue) -
votingBinary
public static Image votingBinary(Image image1, VectorUInt32 radius, long birthThreshold, long survivalThreshold, double foregroundValue) -
votingBinary
public static Image votingBinary(Image image1, VectorUInt32 radius, long birthThreshold, long survivalThreshold) -
votingBinary
-
votingBinary
-
votingBinary
-
votingBinaryIterativeHoleFilling
public static Image votingBinaryIterativeHoleFilling(Image image1, VectorUInt32 radius, long maximumNumberOfIterations, long majorityThreshold, double foregroundValue, double backgroundValue) -
votingBinaryIterativeHoleFilling
public static Image votingBinaryIterativeHoleFilling(Image image1, VectorUInt32 radius, long maximumNumberOfIterations, long majorityThreshold, double foregroundValue) -
votingBinaryIterativeHoleFilling
public static Image votingBinaryIterativeHoleFilling(Image image1, VectorUInt32 radius, long maximumNumberOfIterations, long majorityThreshold) -
votingBinaryIterativeHoleFilling
public static Image votingBinaryIterativeHoleFilling(Image image1, VectorUInt32 radius, long maximumNumberOfIterations) -
votingBinaryIterativeHoleFilling
-
votingBinaryIterativeHoleFilling
-
warp
public static Image warp(Image image, Image displacementField, InterpolatorEnum interpolator, VectorUInt32 outputSize, VectorDouble outputOrigin, VectorDouble outputSpacing, VectorDouble outputDirection, double edgePaddingValue) -
warp
public static Image warp(Image image, Image displacementField, InterpolatorEnum interpolator, VectorUInt32 outputSize, VectorDouble outputOrigin, VectorDouble outputSpacing, VectorDouble outputDirection) -
warp
public static Image warp(Image image, Image displacementField, InterpolatorEnum interpolator, VectorUInt32 outputSize, VectorDouble outputOrigin, VectorDouble outputSpacing) -
warp
public static Image warp(Image image, Image displacementField, InterpolatorEnum interpolator, VectorUInt32 outputSize, VectorDouble outputOrigin) -
warp
public static Image warp(Image image, Image displacementField, InterpolatorEnum interpolator, VectorUInt32 outputSize) -
warp
-
warp
-
whiteTopHat
public static Image whiteTopHat(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, boolean safeBorder) -
whiteTopHat
-
whiteTopHat
-
whiteTopHat
-
wienerDeconvolution
public static Image wienerDeconvolution(Image image1, Image image2, double noiseVariance, boolean normalize, WienerDeconvolutionImageFilter.BoundaryConditionType boundaryCondition, WienerDeconvolutionImageFilter.OutputRegionModeType outputRegionMode) -
wienerDeconvolution
public static Image wienerDeconvolution(Image image1, Image image2, double noiseVariance, boolean normalize, WienerDeconvolutionImageFilter.BoundaryConditionType boundaryCondition) -
wienerDeconvolution
-
wienerDeconvolution
-
wienerDeconvolution
-
wrapPad
-
wrapPad
-
wrapPad
-
xor
Image itk::simple::Xor(int constant, const Image &image2) -
xor
Image itk::simple::Xor(int constant, const Image &image2) -
xor
Image itk::simple::Xor(int constant, const Image &image2) -
yenThreshold
-
yenThreshold
-
yenThreshold
-
yenThreshold
-
yenThreshold
-
yenThreshold
-
yenThreshold
-
yenThreshold
-
yenThreshold
-
yenThreshold
-
yenThreshold
-
yenThreshold
-
zeroCrossingBasedEdgeDetection
-
zeroCrossingBasedEdgeDetection
-
zeroCrossingBasedEdgeDetection
-
zeroCrossingBasedEdgeDetection
-
zeroCrossingBasedEdgeDetection
-
zeroCrossing
-
zeroCrossing
-
zeroCrossing
-
zeroFluxNeumannPad
public static Image zeroFluxNeumannPad(Image image1, VectorUInt32 padLowerBound, VectorUInt32 padUpperBound) -
zeroFluxNeumannPad
-
zeroFluxNeumannPad
-