Class CurvatureFlowImageFilter


public class CurvatureFlowImageFilter extends ImageFilter
Denoise an image using curvature driven flow. CurvatureFlowImageFilter implements a curvature driven image denoising algorithm. Iso- brightness contours in the grayscale input image are viewed as a level set. The level set is then evolved using a curvature-based speed function: \\[ I_t = \\kappa |\\nabla I| \\] where $ \\kappa $ is the curvature. The advantage of this approach is that sharp boundaries are preserved with smoothing occurring only within a region. However, it should be noted that continuous application of this scheme will result in the eventual removal of all information as each contour shrinks to zero and disappear. Note that unlike level set segmentation algorithms, the image to be denoised is already the level set and can be set directly as the input using the SetInput() method. This filter has two parameters: the number of update iterations to be performed and the timestep between each update. The timestep should be "small enough" to ensure numerical stability. Stability is guarantee when the timestep meets the CFL (Courant- Friedrichs-Levy) condition. Broadly speaking, this condition ensures that each contour does not move more than one grid position at each timestep. In the literature, the timestep is typically user specified and have to manually tuned to the application. This filter make use of the multi-threaded finite difference solver hierarchy. Updates are computed using a CurvatureFlowFunction object. A zero flux Neumann boundary condition when computing derivatives near the data boundary. This filter may be streamed. To support streaming this filter produces a padded output which takes into account edge effects. The size of the padding is m_NumberOfIterations on each edge. Users of this filter should only make use of the center valid central region. WARNING: This filter assumes that the input and output types have the same dimensions. This filter also requires that the output image pixels are of a floating point type. This filter works for any dimensional images. Reference: "Level Set Methods and Fast Marching Methods", J.A. Sethian, Cambridge Press, Chapter 16, Second edition, 1999. See: DenseFiniteDifferenceImageFilter CurvatureFlowFunction MinMaxCurvatureFlowImageFilter BinaryMinMaxCurvatureFlowImageFilter itk::simple::CurvatureFlow for the procedural interface itk::CurvatureFlowImageFilter for the Doxygen on the original ITK class. C++ includes: sitkCurvatureFlowImageFilter.h
  • Constructor Details

    • CurvatureFlowImageFilter

      protected CurvatureFlowImageFilter(long cPtr, boolean cMemoryOwn)
    • CurvatureFlowImageFilter

      public CurvatureFlowImageFilter()
      itk::simple::CurvatureFlowImageFilter::CurvatureFlowImageFilter() Default Constructor that takes no arguments and initializes default parameters
  • Method Details

    • getCPtr

      protected static long getCPtr(CurvatureFlowImageFilter obj)
    • swigRelease

      protected static long swigRelease(CurvatureFlowImageFilter obj)
    • finalize

      protected void finalize()
      Overrides:
      finalize in class ImageFilter
    • delete

      public void delete()
      virtual itk::simple::CurvatureFlowImageFilter::~CurvatureFlowImageFilter() Destructor
      Overrides:
      delete in class ImageFilter
    • setTimeStep

      public void setTimeStep(double TimeStep)
      Self& itk::simple::CurvatureFlowImageFilter::SetTimeStep(double TimeStep) Set the timestep parameter.
    • getTimeStep

      public double getTimeStep()
      double itk::simple::CurvatureFlowImageFilter::GetTimeStep() const Get the timestep parameter.
    • setNumberOfIterations

      public void setNumberOfIterations(long NumberOfIterations)
      Self& itk::simple::CurvatureFlowImageFilter::SetNumberOfIterations(uint32_t NumberOfIterations)
    • getNumberOfIterations

      public long getNumberOfIterations()
      uint32_t itk::simple::CurvatureFlowImageFilter::GetNumberOfIterations() const
    • getName

      public String getName()
      std::string itk::simple::CurvatureFlowImageFilter::GetName() const Name of this class
      Overrides:
      getName in class ProcessObject
    • toString

      public String toString()
      std::string itk::simple::CurvatureFlowImageFilter::ToString() const Print ourselves out
      Overrides:
      toString in class ProcessObject
    • execute

      public Image execute(Image image1)
      Image itk::simple::CurvatureFlowImageFilter::Execute(Image &&image1) Execute the filter on the input image