SimpleITK  2.0.0
Classes | Namespaces
sitkSTAPLEImageFilter.h File Reference
#include <memory>
#include "sitkBasicFilters.h"
#include "sitkImageFilter.h"
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Classes

class  itk::simple::STAPLEImageFilter
 The STAPLE filter implements the Simultaneous Truth and Performance Level Estimation algorithm for generating ground truth volumes from a set of binary expert segmentations. More...
 

Namespaces

 itk
 
 itk::simple
 

Functions

Image itk::simple::STAPLE (const Image &image1, const Image &image2, const Image &image3, const Image &image4, const Image &image5, double confidenceWeight=1.0, double foregroundValue=1.0, unsigned int maximumIterations=std::numeric_limits< unsigned int >::max())
 The STAPLE filter implements the Simultaneous Truth and Performance Level Estimation algorithm for generating ground truth volumes from a set of binary expert segmentations. More...
 
Image itk::simple::STAPLE (const Image &image1, const Image &image2, const Image &image3, const Image &image4, double confidenceWeight=1.0, double foregroundValue=1.0, unsigned int maximumIterations=std::numeric_limits< unsigned int >::max())
 The STAPLE filter implements the Simultaneous Truth and Performance Level Estimation algorithm for generating ground truth volumes from a set of binary expert segmentations. More...
 
Image itk::simple::STAPLE (const Image &image1, const Image &image2, const Image &image3, double confidenceWeight=1.0, double foregroundValue=1.0, unsigned int maximumIterations=std::numeric_limits< unsigned int >::max())
 The STAPLE filter implements the Simultaneous Truth and Performance Level Estimation algorithm for generating ground truth volumes from a set of binary expert segmentations. More...
 
Image itk::simple::STAPLE (const Image &image1, const Image &image2, double confidenceWeight=1.0, double foregroundValue=1.0, unsigned int maximumIterations=std::numeric_limits< unsigned int >::max())
 The STAPLE filter implements the Simultaneous Truth and Performance Level Estimation algorithm for generating ground truth volumes from a set of binary expert segmentations. More...
 
Image itk::simple::STAPLE (const Image &image1, double confidenceWeight=1.0, double foregroundValue=1.0, unsigned int maximumIterations=std::numeric_limits< unsigned int >::max())
 The STAPLE filter implements the Simultaneous Truth and Performance Level Estimation algorithm for generating ground truth volumes from a set of binary expert segmentations. More...
 
Image itk::simple::STAPLE (const std::vector< Image > &images, double confidenceWeight=1.0, double foregroundValue=1.0, unsigned int maximumIterations=std::numeric_limits< unsigned int >::max())
 The STAPLE filter implements the Simultaneous Truth and Performance Level Estimation algorithm for generating ground truth volumes from a set of binary expert segmentations. More...
 
Image itk::simple::STAPLE (const std::vector< Image > &images, double confidenceWeight=1.0, double foregroundValue=1.0, unsigned int maximumIterations=std::numeric_limits< unsigned int >::max())
 The STAPLE filter implements the Simultaneous Truth and Performance Level Estimation algorithm for generating ground truth volumes from a set of binary expert segmentations. More...
 
Image itk::simple::STAPLE (const Image &image1, double confidenceWeight=1.0, double foregroundValue=1.0, unsigned int maximumIterations=std::numeric_limits< unsigned int >::max())
 The STAPLE filter implements the Simultaneous Truth and Performance Level Estimation algorithm for generating ground truth volumes from a set of binary expert segmentations. More...
 
Image itk::simple::STAPLE (const Image &image1, const Image &image2, double confidenceWeight=1.0, double foregroundValue=1.0, unsigned int maximumIterations=std::numeric_limits< unsigned int >::max())
 The STAPLE filter implements the Simultaneous Truth and Performance Level Estimation algorithm for generating ground truth volumes from a set of binary expert segmentations. More...
 
Image itk::simple::STAPLE (const Image &image1, const Image &image2, const Image &image3, double confidenceWeight=1.0, double foregroundValue=1.0, unsigned int maximumIterations=std::numeric_limits< unsigned int >::max())
 The STAPLE filter implements the Simultaneous Truth and Performance Level Estimation algorithm for generating ground truth volumes from a set of binary expert segmentations. More...
 
Image itk::simple::STAPLE (const Image &image1, const Image &image2, const Image &image3, const Image &image4, double confidenceWeight=1.0, double foregroundValue=1.0, unsigned int maximumIterations=std::numeric_limits< unsigned int >::max())
 The STAPLE filter implements the Simultaneous Truth and Performance Level Estimation algorithm for generating ground truth volumes from a set of binary expert segmentations. More...
 
Image itk::simple::STAPLE (const Image &image1, const Image &image2, const Image &image3, const Image &image4, const Image &image5, double confidenceWeight=1.0, double foregroundValue=1.0, unsigned int maximumIterations=std::numeric_limits< unsigned int >::max())
 The STAPLE filter implements the Simultaneous Truth and Performance Level Estimation algorithm for generating ground truth volumes from a set of binary expert segmentations. More...