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itk::GibbsPriorFilter< TInputImage, TClassifiedImage > Class Template Reference
[Markov Random Field-based Filters]

#include <itkGibbsPriorFilter.h>

Inheritance diagram for itk::GibbsPriorFilter:

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Collaboration diagram for itk::GibbsPriorFilter< TInputImage, TClassifiedImage >:

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List of all members.

Public Types

typedef GibbsPriorFilter Self
typedef MRFImageFilter< TInputImage,
TClassifiedImage > 		Superclass
typedef SmartPointer< Self > Pointer
typedef SmartPointer< const
Self > 		ConstPointer
typedef TInputImage::Pointer InputImageType
typedef TInputImage::PixelType InputPixelType
typedef TClassifiedImage::Pointer TrainingImageType
typedef TClassifiedImage::PixelType TrainingPixelType
typedef TClassifiedImage::Pointer LabelledImageType
typedef TClassifiedImage::PixelType LabelledPixelType
typedef TClassifiedImage::IndexType LabelledImageIndexType
typedef Superclass::ClassifierType ClassifierType
typedef TInputImage::PixelType InputImagePixelType
typedef TClassifiedImage::PixelType TrainingImagePixelType
typedef TClassifiedImage::PixelType LabelledImagePixelType
typedef ImageRegionIteratorWithIndex<
TInputImage > 		InputImageIterator
typedef ImageRegionIteratorWithIndex<
TClassifiedImage > 		LabelledImageIterator
typedef TInputImage::PixelType InputImageVectorType

Public Methods

virtual const char * GetClassName () const
void SetTrainingImage (TrainingImageType image)
void SetLabelledImage (LabelledImageType LabelledImage)
LabelledImageType GetLabelledImage ()
void SetClassifier (typename ClassifierType::Pointer ptrToClassifier)
virtual void SetClusterSize (unsigned int _arg)
virtual void SetObjectLabel (unsigned int _arg)
 itkStaticConstMacro (ImageDimension, unsigned int, TInputImage::ImageDimension)
virtual void SetNumberOfClasses (unsigned int _arg)
virtual unsigned int GetNumberOfClasses ()
virtual void SetMaximumNumberOfIterations (unsigned int _arg)
virtual unsigned int GetMaximumNumberOfIterations ()
virtual void SetErrorTolerance (double _arg)
virtual double GetErrorTolerance ()
void SetStartPoint (int x, int y, int z)
void SetBoundaryGradient (int a)
void Advance ()

Static Public Methods

Pointer New ()

Public Attributes

ClassifierType::Pointer m_ClassifierPtr

Protected Methods

 GibbsPriorFilter ()
 ~GibbsPriorFilter ()
void PrintSelf (std::ostream &os, Indent indent) const
virtual void MinimizeFunctional ()
virtual void GenerateData ()
void ApplyGibbsLabeller ()
virtual void ApplyMRFImageFilter ()
void Allocate ()
void GibbsTotalEnergy (int i)
int GreyScalarBoundary (LabelledImageIndexType Index3D)
float GibbsEnergy (int i, int k, int k1)
int Sim (int a, int b)
int LabelRegion (int i, int l, int change)
void RegionEraser ()
void GenerateInputRequestedRegion ()
void EnlargeOutputRequestedRegion (DataObject *)
void GenerateOutputInformation ()

Protected Attributes

InputImageType m_InputImage
TrainingImageType m_TrainingImage
LabelledImageType m_LabelledImage
float m_BoundaryWeight
float m_GibbsPriorWeight
int m_StartRadius
int m_StartPoint [3]
int m_StartModelSize
int m_GibbsNeighborsThreshold
int m_BoundaryGradient
int m_RecursiveNum
unsigned int m_NumberOfClasses
unsigned int m_MaximumNumberOfIterations
unsigned int * m_LabelStatus
double m_ErrorTolerance
double * m_ClassProbability
int m_ErrorCounter
int m_ImageWidth
int m_ImageHeight
int m_ImageDepth
int m_ClusterSize
int m_ObjectLabel
unsigned short * m_Region
unsigned short * m_RegionCount

Detailed Description

template<class TInputImage, class TClassifiedImage>
class itk::GibbsPriorFilter< TInputImage, TClassifiedImage >

GibbsPriorFilter is a class that apply Gibbs Prior model into segmentation of MRF images. The core of the method is to minimize a Gibbsian form energy function. The function can be divided into three parts: ; for the object homogeneity, for the boundary smoothness, is the noise model. and is minimized in the function GradientEnergy and is minized in the function GibbsTotalEnergy

Definition at line 48 of file itkGibbsPriorFilter.h.

Member Typedef Documentation

template<class TInputImage, class TClassifiedImage>
typedef Superclass::ClassifierType itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::ClassifierType
 

Type definitions for classifier to be used for the MRF lavbelling.

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

Definition at line 88 of file itkGibbsPriorFilter.h.

template<class TInputImage, class TClassifiedImage>
typedef SmartPointer<const Self> itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::ConstPointer
 

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

Definition at line 56 of file itkGibbsPriorFilter.h.

template<class TInputImage, class TClassifiedImage>
typedef ImageRegionIteratorWithIndex< TInputImage > itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::InputImageIterator
 

Convenient typedefs.

Definition at line 98 of file itkGibbsPriorFilter.h.

template<class TInputImage, class TClassifiedImage>
typedef TInputImage::PixelType itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::InputImagePixelType
 

Type definition for the input image pixel type.

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

Definition at line 93 of file itkGibbsPriorFilter.h.

template<class TInputImage, class TClassifiedImage>
typedef TInputImage::Pointer itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::InputImageType
 

The input image type.

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

Definition at line 65 of file itkGibbsPriorFilter.h.

template<class TInputImage, class TClassifiedImage>
typedef TInputImage::PixelType itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::InputImageVectorType
 

Definition at line 100 of file itkGibbsPriorFilter.h.

template<class TInputImage, class TClassifiedImage>
typedef TInputImage::PixelType itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::InputPixelType
 

Type definition for the input image pixel type.

Definition at line 68 of file itkGibbsPriorFilter.h.

template<class TInputImage, class TClassifiedImage>
typedef TClassifiedImage::IndexType itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::LabelledImageIndexType
 

Type definition for the classified image index type.

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

Definition at line 85 of file itkGibbsPriorFilter.h.

template<class TInputImage, class TClassifiedImage>
typedef ImageRegionIteratorWithIndex<TClassifiedImage> itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::LabelledImageIterator
 

Definition at line 99 of file itkGibbsPriorFilter.h.

template<class TInputImage, class TClassifiedImage>
typedef TClassifiedImage::PixelType itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::LabelledImagePixelType
 

Type definitions for the classified image pixel type. It has to be the same type as the training image.

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

Definition at line 95 of file itkGibbsPriorFilter.h.

template<class TInputImage, class TClassifiedImage>
typedef TClassifiedImage::Pointer itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::LabelledImageType
 

Type definitions for the labelled image. It is derived from the training image.

Definition at line 78 of file itkGibbsPriorFilter.h.

template<class TInputImage, class TClassifiedImage>
typedef TClassifiedImage::PixelType itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::LabelledPixelType
 

Type definitions for the classified image pixel type. It has to be the same type as the training image.

Definition at line 82 of file itkGibbsPriorFilter.h.

template<class TInputImage, class TClassifiedImage>
typedef SmartPointer<Self> itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::Pointer
 

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

Definition at line 55 of file itkGibbsPriorFilter.h.

template<class TInputImage, class TClassifiedImage>
typedef GibbsPriorFilter itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::Self
 

Standard class typedefs.

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

Definition at line 53 of file itkGibbsPriorFilter.h.

template<class TInputImage, class TClassifiedImage>
typedef MRFImageFilter<TInputImage, TClassifiedImage> itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::Superclass
 

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

Definition at line 54 of file itkGibbsPriorFilter.h.

template<class TInputImage, class TClassifiedImage>
typedef TClassifiedImage::PixelType itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::TrainingImagePixelType
 

Type definitions for the training image pixel type.

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

Definition at line 94 of file itkGibbsPriorFilter.h.

template<class TInputImage, class TClassifiedImage>
typedef TClassifiedImage::Pointer itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::TrainingImageType
 

Type definitions for the training image.

Definition at line 71 of file itkGibbsPriorFilter.h.

template<class TInputImage, class TClassifiedImage>
typedef TClassifiedImage::PixelType itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::TrainingPixelType
 

Type definitions for the training image pixel type.

Definition at line 74 of file itkGibbsPriorFilter.h.

Constructor & Destructor Documentation

template<class TInputImage, class TClassifiedImage>
itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::GibbsPriorFilter (    )  [protected]
 

template<class TInputImage, class TClassifiedImage>
itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::~GibbsPriorFilter (    )  [inline, protected]
 

Definition at line 150 of file itkGibbsPriorFilter.h.

References HardConnectedComponentImageFilter::GenerateData(), and HardConnectedComponentImageFilter::InputImageType.

Member Function Documentation

template<class TInputImage, class TClassifiedImage>
void itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::Advance (    ) 
 

Methods to control the algorithm.

template<class TInputImage, class TClassifiedImage>
void itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::Allocate (    )  [protected]
 

Allocate memory for labelled images.

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

template<class TInputImage, class TClassifiedImage>
void itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::ApplyGibbsLabeller (    )  [protected]
 

template<class TInputImage, class TClassifiedImage>
virtual void itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::ApplyMRFImageFilter (    )  [protected, virtual]
 

Apply MRF Classifier. In this example the images are labelled using Iterated Conditional Mode algorithm by J. Besag, "On statistical analysis of dirty pictures," J. Royal Stat. Soc. B, vol. 48, pp. 259-302, 1986.

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

template<class TInputImage, class TClassifiedImage>
void itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::EnlargeOutputRequestedRegion (  DataObject *    )  [protected, virtual]
 

function defintions

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

template<class TInputImage, class TClassifiedImage>
virtual void itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::GenerateData (  void    )  [protected, virtual]
 

This method causes the filter to generate its output.

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

template<class TInputImage, class TClassifiedImage>
void itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::GenerateInputRequestedRegion (    )  [protected, virtual]
 

function defintions

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

template<class TInputImage, class TClassifiedImage>
void itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::GenerateOutputInformation (    )  [protected, virtual]
 

function defintions

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

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

Run-time type information (and related methods).

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

template<class TInputImage, class TClassifiedImage>
virtual double itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::GetErrorTolerance (    )  [virtual]
 

Set/Get the error tolerance level which is used as a threshold to quit the iterations.

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

template<class TInputImage, class TClassifiedImage>
LabelledImageType itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::GetLabelledImage (    )  [inline]
 

Get the labelled image.

Definition at line 109 of file itkGibbsPriorFilter.h.

template<class TInputImage, class TClassifiedImage>
virtual unsigned int itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::GetMaximumNumberOfIterations (    )  [virtual]
 

Set/Get the maximum number of iterations of the Iterated Conditional Mode (ICM) algorithm. A default value is set at 50 iterations.

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

template<class TInputImage, class TClassifiedImage>
virtual unsigned int itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::GetNumberOfClasses (    )  [virtual]
 

Set/Get the number of classes.

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

template<class TInputImage, class TClassifiedImage>
float itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::GibbsEnergy (  int    i,
int    k,
int    k1
)  [protected]
 

template<class TInputImage, class TClassifiedImage>
void itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::GibbsTotalEnergy (  int    i )  [protected]
 

template<class TInputImage, class TClassifiedImage>
int itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::GreyScalarBoundary (  LabelledImageIndexType    Index3D )  [protected]
 

template<class TInputImage, class TClassifiedImage>
itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::itkStaticConstMacro (  ImageDimension   ,
unsigned    int,
TInputImage::ImageDimension   
) 
 

The image dimension.

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

template<class TInputImage, class TClassifiedImage>
int itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::LabelRegion (  int    i,
int    l,
int    change
)  [protected]
 

template<class TInputImage, class TClassifiedImage>
virtual void itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::MinimizeFunctional (    )  [protected, virtual]
 

Minimization algorithm to be used.

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

template<class TInputImage, class TClassifiedImage>
Pointer itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::New (    )  [static]
 

Method for creation through the object factory.

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

template<class TInputImage, class TClassifiedImage>
void itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::PrintSelf (  std::ostream &    os,
Indent    indent
)  const [protected, virtual]
 

Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

template<class TInputImage, class TClassifiedImage>
void itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::RegionEraser (    )  [protected]
 

template<class TInputImage, class TClassifiedImage>
void itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::SetBoundaryGradient (  int    a ) 
 

Methods to control the algorithm.

template<class TInputImage, class TClassifiedImage>
void itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::SetClassifier (  typename ClassifierType::Pointer    ptrToClassifier ) 
 

Set the pointer to the classifer being used.

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

template<class TInputImage, class TClassifiedImage>
virtual void itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::SetClusterSize (  unsigned int    _arg )  [virtual]
 

Threshold of the object size.

template<class TInputImage, class TClassifiedImage>
virtual void itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::SetErrorTolerance (  double    _arg )  [virtual]
 

Set/Get the error tolerance level which is used as a threshold to quit the iterations.

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

template<class TInputImage, class TClassifiedImage>
void itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::SetLabelledImage (  LabelledImageType    LabelledImage ) 
 

Set the labelled image.

template<class TInputImage, class TClassifiedImage>
virtual void itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::SetMaximumNumberOfIterations (  unsigned int    _arg )  [virtual]
 

Set/Get the maximum number of iterations of the Iterated Conditional Mode (ICM) algorithm. A default value is set at 50 iterations.

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

template<class TInputImage, class TClassifiedImage>
virtual void itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::SetNumberOfClasses (  unsigned int    _arg )  [virtual]
 

Set/Get the number of classes.

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

template<class TInputImage, class TClassifiedImage>
virtual void itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::SetObjectLabel (  unsigned int    _arg )  [virtual]
 

The label of object region.

template<class TInputImage, class TClassifiedImage>
void itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::SetStartPoint (  int    x,
int    y,
int    z
) 
 

Methods to control the algorithm.

template<class TInputImage, class TClassifiedImage>
void itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::SetTrainingImage (  TrainingImageType    image ) 
 

Set the image required for training type classifiers

template<class TInputImage, class TClassifiedImage>
int itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::Sim (  int    a,
int    b
)  [protected]
 

Member Data Documentation

template<class TInputImage, class TClassifiedImage>
int itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::m_BoundaryGradient [protected]
 

Definition at line 170 of file itkGibbsPriorFilter.h.

template<class TInputImage, class TClassifiedImage>
float itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::m_BoundaryWeight [protected]
 

Definition at line 163 of file itkGibbsPriorFilter.h.

template<class TInputImage, class TClassifiedImage>
ClassifierType::Pointer itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::m_ClassifierPtr
 

Pointer to the classifier to be used for the MRF lavbelling.

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

Definition at line 92 of file itkGibbsPriorFilter.h.

template<class TInputImage, class TClassifiedImage>
double* itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::m_ClassProbability [protected]
 

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

Definition at line 178 of file itkGibbsPriorFilter.h.

template<class TInputImage, class TClassifiedImage>
int itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::m_ClusterSize [protected]
 

Definition at line 184 of file itkGibbsPriorFilter.h.

template<class TInputImage, class TClassifiedImage>
int itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::m_ErrorCounter [protected]
 

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

Definition at line 180 of file itkGibbsPriorFilter.h.

template<class TInputImage, class TClassifiedImage>
double itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::m_ErrorTolerance [protected]
 

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

Definition at line 177 of file itkGibbsPriorFilter.h.

template<class TInputImage, class TClassifiedImage>
int itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::m_GibbsNeighborsThreshold [protected]
 

Definition at line 169 of file itkGibbsPriorFilter.h.

template<class TInputImage, class TClassifiedImage>
float itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::m_GibbsPriorWeight [protected]
 

Definition at line 164 of file itkGibbsPriorFilter.h.

template<class TInputImage, class TClassifiedImage>
int itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::m_ImageDepth [protected]
 

Definition at line 183 of file itkGibbsPriorFilter.h.

template<class TInputImage, class TClassifiedImage>
int itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::m_ImageHeight [protected]
 

Definition at line 182 of file itkGibbsPriorFilter.h.

template<class TInputImage, class TClassifiedImage>
int itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::m_ImageWidth [protected]
 

Definition at line 181 of file itkGibbsPriorFilter.h.

template<class TInputImage, class TClassifiedImage>
InputImageType itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::m_InputImage [protected]
 

Definition at line 159 of file itkGibbsPriorFilter.h.

template<class TInputImage, class TClassifiedImage>
LabelledImageType itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::m_LabelledImage [protected]
 

Definition at line 161 of file itkGibbsPriorFilter.h.

template<class TInputImage, class TClassifiedImage>
unsigned int* itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::m_LabelStatus [protected]
 

Definition at line 175 of file itkGibbsPriorFilter.h.

template<class TInputImage, class TClassifiedImage>
unsigned int itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::m_MaximumNumberOfIterations [protected]
 

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

Definition at line 174 of file itkGibbsPriorFilter.h.

template<class TInputImage, class TClassifiedImage>
unsigned int itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::m_NumberOfClasses [protected]
 

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

Definition at line 173 of file itkGibbsPriorFilter.h.

template<class TInputImage, class TClassifiedImage>
int itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::m_ObjectLabel [protected]
 

Definition at line 185 of file itkGibbsPriorFilter.h.

template<class TInputImage, class TClassifiedImage>
int itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::m_RecursiveNum [protected]
 

Definition at line 171 of file itkGibbsPriorFilter.h.

template<class TInputImage, class TClassifiedImage>
unsigned short* itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::m_Region [protected]
 

Definition at line 187 of file itkGibbsPriorFilter.h.

template<class TInputImage, class TClassifiedImage>
unsigned short* itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::m_RegionCount [protected]
 

Definition at line 188 of file itkGibbsPriorFilter.h.

template<class TInputImage, class TClassifiedImage>
int itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::m_StartModelSize [protected]
 

Definition at line 168 of file itkGibbsPriorFilter.h.

template<class TInputImage, class TClassifiedImage>
int itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::m_StartPoint[3] [protected]
 

Definition at line 167 of file itkGibbsPriorFilter.h.

template<class TInputImage, class TClassifiedImage>
int itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::m_StartRadius [protected]
 

Definition at line 165 of file itkGibbsPriorFilter.h.

template<class TInputImage, class TClassifiedImage>
TrainingImageType itk::GibbsPriorFilter< TInputImage, TClassifiedImage >::m_TrainingImage [protected]
 

Definition at line 160 of file itkGibbsPriorFilter.h.

The documentation for this class was generated from the following file:
Generated at Fri May 21 01:45:49 2004 for ITK by doxygen 1.2.15 written by Dimitri van Heesch, © 1997-2000