Class LabelVotingImageFilter


public class LabelVotingImageFilter extends ImageFilter
This filter performs pixelwise voting among an arbitrary number of input images, where each of them represents a segmentation of the same scene (i.e., image). Label voting is a simple method of classifier combination applied to image segmentation. Typically, the accuracy of the combined segmentation exceeds the accuracy of any of the input segmentations. Voting is therefore commonly used as a way of boosting segmentation performance. The use of label voting for combination of multiple segmentations is described in T. Rohlfing and C. R. Maurer, Jr., "Multi-classifier framework for atlas-based image segmentation," Pattern Recognition Letters, 2005. INPUTS All input volumes to this filter must be segmentations of an image, that is, they must have discrete pixel values where each value represents a different segmented object. Input volumes must all contain the same size RequestedRegions. Not all input images must contain all possible labels, but all label values must have the same meaning in all images. OUTPUTS The voting filter produces a single output volume. Each output pixel contains the label that occurred most often among the labels assigned to this pixel in all the input volumes, that is, the label that received the maximum number of "votes" from the input pixels.. If the maximum number of votes is not unique, i.e., if more than one label have a maximum number of votes, an "undecided" label is assigned to that output pixel. By default, the label used for undecided pixels is the maximum label value used in the input images plus one. Since it is possible for an image with 8 bit pixel values to use all 256 possible label values, it is permissible to combine 8 bit (i.e., byte) images into a 16 bit (i.e., short) output image. PARAMETERS The label used for "undecided" labels can be set using SetLabelForUndecidedPixels. This functionality can be unset by calling UnsetLabelForUndecidedPixels. Torsten Rohlfing, SRI International, Neuroscience Program See: itk::simple::LabelVoting for the procedural interface C++ includes: sitkLabelVotingImageFilter.h
  • Constructor Details

    • LabelVotingImageFilter

      protected LabelVotingImageFilter(long cPtr, boolean cMemoryOwn)
    • LabelVotingImageFilter

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

    • getCPtr

      protected static long getCPtr(LabelVotingImageFilter obj)
    • swigRelease

      protected static long swigRelease(LabelVotingImageFilter obj)
    • finalize

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

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

      public void setLabelForUndecidedPixels(long LabelForUndecidedPixels)
      Self& itk::simple::LabelVotingImageFilter::SetLabelForUndecidedPixels(uint64_t LabelForUndecidedPixels) Set label value for undecided pixels.
    • getLabelForUndecidedPixels

      public long getLabelForUndecidedPixels()
      uint64_t itk::simple::LabelVotingImageFilter::GetLabelForUndecidedPixels() const Get label value used for undecided pixels. After updating the filter, this function returns the actual label value used for undecided pixels in the current output. Note that this value is overwritten when SetLabelForUndecidedPixels is called and the new value only becomes effective upon the next filter update.
    • getName

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

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

      public Image execute(VectorOfImage images)
      Image itk::simple::LabelVotingImageFilter::Execute(const std::vector< Image > &images) Execute the filter on the input images
    • execute

      public Image execute(Image image1)
      Image itk::simple::LabelVotingImageFilter::Execute(const std::vector< Image > &images) Execute the filter on the input images
    • execute

      public Image execute(Image image1, Image image2)
      Image itk::simple::LabelVotingImageFilter::Execute(const std::vector< Image > &images) Execute the filter on the input images
    • execute

      public Image execute(Image image1, Image image2, Image image3)
      Image itk::simple::LabelVotingImageFilter::Execute(const std::vector< Image > &images) Execute the filter on the input images
    • execute

      public Image execute(Image image1, Image image2, Image image3, Image image4)
      Image itk::simple::LabelVotingImageFilter::Execute(const std::vector< Image > &images) Execute the filter on the input images
    • execute

      public Image execute(Image image1, Image image2, Image image3, Image image4, Image image5)
      Image itk::simple::LabelVotingImageFilter::Execute(const std::vector< Image > &images) Execute the filter on the input images