itk::VoronoiSegmentationImageFilter< TInputImage, TOutputImage > Class Template Reference
[Hybrid Segmentation Filters]

#include <itkVoronoiSegmentationImageFilter.h>

Inheritance diagram for itk::VoronoiSegmentationImageFilter:

[legend]Collaboration diagram for itk::VoronoiSegmentationImageFilter< TInputImage, TOutputImage >:

[legend]List of all members.

Public Types
typedef VoronoiSegmentationImageFilter	Self
typedef VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage >	Superclass
typedef SmartPointer< Self >	Pointer
typedef SmartPointer< const Self >	ConstPointer
typedef Superclass::BinaryObjectImage	BinaryObjectImage
typedef Superclass::IndexList	IndexList
typedef Superclass::IndexType	IndexType
typedef Superclass::RegionType	RegionType
typedef Superclass::InputImageType	InputImageType
Public Methods
virtual const char *	GetClassName () const
virtual void	SetSTDTolerance (double _arg)
virtual double	GetSTDTolerance ()
void	TakeAPrior (BinaryObjectImage *aprior)
virtual void	SetMean (double _arg)
virtual double	GetMean ()
virtual void	SetSTD (double _arg)
virtual double	GetSTD ()
virtual void	SetMeanTolerance (double _arg)
virtual double	GetMeanTolerance ()
void	SetMeanPercentError (double x)
virtual double	GetMeanPercentError ()
virtual double	GetSTDPercentError ()
void	SetSTDPercentError (double x)
Static Public Methods
Pointer	New ()
Protected Methods
	VoronoiSegmentationImageFilter ()
	~VoronoiSegmentationImageFilter ()

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Detailed Description

template<class TInputImage, class TOutputImage>
class itk::VoronoiSegmentationImageFilter< TInputImage, TOutputImage >

Perform the segmentation of 2D images (single channel) by Voronoi Diagram. Used as a node of the segmentation toolkits. The homogeneity operator here is the testing of mean and standar deviation value. By setting the tolerance level, the "internal" region was defined as those that is closed to the gold-standard value in the sense that the difference is within the tolerance value.

See VoronoiSegmentationImageFilterBase for detail description of voronoi segmenation principles.

The parameters here are: 1. the estimation of the statistics of the object. (mean and std.) 2. the tolerance for the classification. (around the mean ans std. estimated value).

The parameters can also be automatically set by given a prior, as a binary image.

Detail information about this algorithm can be found in: " Semi-automated color segmentation of anatomical tissue," C. Imelinska, M. Downes, and W. Yuan Computerized Medical Imaging and Graphics, Vor.24, pp 173-180, 2000.

Definition at line 55 of file itkVoronoiSegmentationImageFilter.h.

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Member Typedef Documentation

template<class TInputImage, class TOutputImage> typedef Superclass::BinaryObjectImage itk::VoronoiSegmentationImageFilter< TInputImage, TOutputImage >::BinaryObjectImage

Convenient typedefs. Reimplemented from itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage >. Definition at line 74 of file itkVoronoiSegmentationImageFilter.h.

template<class TInputImage, class TOutputImage> typedef SmartPointer<const Self> itk::VoronoiSegmentationImageFilter< TInputImage, TOutputImage >::ConstPointer

Reimplemented from itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage >. Definition at line 64 of file itkVoronoiSegmentationImageFilter.h.

template<class TInputImage, class TOutputImage> typedef Superclass::IndexList itk::VoronoiSegmentationImageFilter< TInputImage, TOutputImage >::IndexList

Reimplemented from itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage >. Definition at line 75 of file itkVoronoiSegmentationImageFilter.h.

template<class TInputImage, class TOutputImage> typedef Superclass::IndexType itk::VoronoiSegmentationImageFilter< TInputImage, TOutputImage >::IndexType

Reimplemented from itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage >. Definition at line 76 of file itkVoronoiSegmentationImageFilter.h.

template<class TInputImage, class TOutputImage> typedef Superclass::InputImageType itk::VoronoiSegmentationImageFilter< TInputImage, TOutputImage >::InputImageType

Convenient typedefs. Reimplemented from itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage >. Definition at line 78 of file itkVoronoiSegmentationImageFilter.h.

template<class TInputImage, class TOutputImage> typedef SmartPointer<Self> itk::VoronoiSegmentationImageFilter< TInputImage, TOutputImage >::Pointer

Reimplemented from itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage >. Definition at line 63 of file itkVoronoiSegmentationImageFilter.h.

template<class TInputImage, class TOutputImage> typedef Superclass::RegionType itk::VoronoiSegmentationImageFilter< TInputImage, TOutputImage >::RegionType

Reimplemented from itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage >. Definition at line 77 of file itkVoronoiSegmentationImageFilter.h.

template<class TInputImage, class TOutputImage> typedef VoronoiSegmentationImageFilter itk::VoronoiSegmentationImageFilter< TInputImage, TOutputImage >::Self

Standard class typedefs. Reimplemented from itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage >. Definition at line 60 of file itkVoronoiSegmentationImageFilter.h.

template<class TInputImage, class TOutputImage> typedef VoronoiSegmentationImageFilterBase<TInputImage,TOutputImage> itk::VoronoiSegmentationImageFilter< TInputImage, TOutputImage >::Superclass

Reimplemented from itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage >. Definition at line 62 of file itkVoronoiSegmentationImageFilter.h.

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Constructor & Destructor Documentation

template<class TInputImage, class TOutputImage> itk::VoronoiSegmentationImageFilter< TInputImage, TOutputImage >::VoronoiSegmentationImageFilter (    )  [protected]

template<class TInputImage, class TOutputImage> itk::VoronoiSegmentationImageFilter< TInputImage, TOutputImage >::~VoronoiSegmentationImageFilter (    )  [protected]

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Member Function Documentation

template<class TInputImage, class TOutputImage> virtual const char* itk::VoronoiSegmentationImageFilter< TInputImage, TOutputImage >::GetClassName (    )  const [virtual]

Run-time type information (and related methods). Reimplemented from itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage >.

template<class TInputImage, class TOutputImage> virtual double itk::VoronoiSegmentationImageFilter< TInputImage, TOutputImage >::GetMean (    )  [virtual]

Set/Get the Estimation of the mean pixel value for the object.

template<class TInputImage, class TOutputImage> virtual double itk::VoronoiSegmentationImageFilter< TInputImage, TOutputImage >::GetMeanPercentError (    )  [virtual]

Set/Get the mean percent error.

template<class TInputImage, class TOutputImage> virtual double itk::VoronoiSegmentationImageFilter< TInputImage, TOutputImage >::GetMeanTolerance (    )  [virtual]

Set/Get the Tolearance of Mean for classifying the regions.

template<class TInputImage, class TOutputImage> virtual double itk::VoronoiSegmentationImageFilter< TInputImage, TOutputImage >::GetSTD (    )  [virtual]

Set/Get the estimation of the STD of the pixel value for the object.

template<class TInputImage, class TOutputImage> virtual double itk::VoronoiSegmentationImageFilter< TInputImage, TOutputImage >::GetSTDPercentError (    )  [virtual]

Set/Get the STD percent error.

template<class TInputImage, class TOutputImage> virtual double itk::VoronoiSegmentationImageFilter< TInputImage, TOutputImage >::GetSTDTolerance (    )  [virtual]

Get the Tolearance of Variance for classifying the regions.

template<class TInputImage, class TOutputImage> Pointer itk::VoronoiSegmentationImageFilter< TInputImage, TOutputImage >::New (    )  [static]

Method for creation through the object factory. Reimplemented from itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage >.

template<class TInputImage, class TOutputImage> virtual void itk::VoronoiSegmentationImageFilter< TInputImage, TOutputImage >::SetMean (  double    _arg )  [virtual]

Set/Get the Estimation of the mean pixel value for the object.

template<class TInputImage, class TOutputImage> void itk::VoronoiSegmentationImageFilter< TInputImage, TOutputImage >::SetMeanPercentError (  double    x )

Set/Get the mean percent error.

template<class TInputImage, class TOutputImage> virtual void itk::VoronoiSegmentationImageFilter< TInputImage, TOutputImage >::SetMeanTolerance (  double    _arg )  [virtual]

Set/Get the Tolearance of Mean for classifying the regions.

template<class TInputImage, class TOutputImage> virtual void itk::VoronoiSegmentationImageFilter< TInputImage, TOutputImage >::SetSTD (  double    _arg )  [virtual]

Set/Get the estimation of the STD of the pixel value for the object.

template<class TInputImage, class TOutputImage> void itk::VoronoiSegmentationImageFilter< TInputImage, TOutputImage >::SetSTDPercentError (  double    x )

Set/Get the STD percent error.

template<class TInputImage, class TOutputImage> virtual void itk::VoronoiSegmentationImageFilter< TInputImage, TOutputImage >::SetSTDTolerance (  double    _arg )  [virtual]

Set the Tolearance of STD for classifying the regions.

template<class TInputImage, class TOutputImage> void itk::VoronoiSegmentationImageFilter< TInputImage, TOutputImage >::TakeAPrior (  BinaryObjectImage *    aprior )  [virtual]

Take a prior from other segmentation node, should be an binary object. Reimplemented from itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage >.

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The documentation for this class was generated from the following file:

• itkVoronoiSegmentationImageFilter.h

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