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

#include <itkVoronoiSegmentationImageFilter.h>

Inheritance diagram for itk::VoronoiSegmentationImageFilter:

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Collaboration diagram for itk::VoronoiSegmentationImageFilter< TInputImage, TOutputImage >:

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List of all members.

Public Types

typedef VoronoiSegmentationImageFilter Self
typedef VoronoiSegmentationImageFilterBase<
TInputImage, TOutputImage > 
Superclass
typedef SmartPointer< SelfPointer
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 ()

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.


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.


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]
 


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 >.


The documentation for this class was generated from the following file:
Generated at Fri May 21 01:48:52 2004 for ITK by doxygen 1.2.15 written by Dimitri van Heesch, © 1997-2000