itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage > Class Template Reference

#include <itkRGBGibbsPriorFilter.h>

Inheritance diagram for itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >:

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

List of all members.

Public Types
typedef TClassifiedImage	ClassifiedImageType
typedef ImageClassifierBase < TInputImage, TClassifiedImage >	ClassifierType
typedef SmartPointer< const Self >	ConstPointer
typedef TInputImage::IndexType	IndexType
typedef Superclass::IndexValueType	IndexValueType
typedef TInputImage::ConstPointer	InputImageConstPointer
typedef Superclass::InputImagePixelType	InputImagePixelType
typedef TInputImage::Pointer	InputImagePointer
typedef Superclass::InputImageRegionConstIterator	InputImageRegionConstIterator
typedef Superclass::InputImageRegionIterator	InputImageRegionIterator
typedef TInputImage	InputImageType
typedef TInputImage::PixelType	InputImageVecType
typedef TInputImage::PixelType	InputPixelType
typedef TClassifiedImage::IndexType	LabelledImageIndexType
typedef Superclass::LabelledImagePixelType	LabelledImagePixelType
typedef Superclass::LabelledImageRegionIterator	LabelledImageRegionIterator
typedef TClassifiedImage::Pointer	LabelledImageType
typedef unsigned int	LabelType
typedef SmartPointer< Self >	Pointer
typedef RGBGibbsPriorFilter	Self
typedef MRFImageFilter < TInputImage, TClassifiedImage >	Superclass
typedef TClassifiedImage::Pointer	TrainingImageType
Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
LabelledImageType	GetLabelledImage ()
virtual unsigned int	GetMaximumNumberOfIterations () const
virtual const char *	GetNameOfClass () const
virtual unsigned int	GetNumberOfClasses () const
virtual void	SetBoundaryGradient (unsigned int _arg)
void	SetClassifier (typename ClassifierType::Pointer ptrToClassifier)
virtual void	SetClusterSize (unsigned int _arg)
void	SetLabelledImage (LabelledImageType LabelledImage)
virtual void	SetMaximumNumberOfIterations (unsigned int _arg)
virtual void	SetNumberOfClasses (unsigned int _arg)
virtual void	SetObjectLabel (LabelType _arg)
virtual void	SetObjectThreshold (double _arg)
virtual void	SetStartPoint (IndexType _arg)
void	SetTrainingImage (TrainingImageType image)
virtual void	SetCliqueWeight_1 (double _arg)
virtual double	GetCliqueWeight_1 () const
virtual void	SetCliqueWeight_2 (double _arg)
virtual double	GetCliqueWeight_2 () const
virtual void	SetCliqueWeight_3 (double _arg)
virtual double	GetCliqueWeight_3 () const
virtual void	SetCliqueWeight_4 (double _arg)
virtual double	GetCliqueWeight_4 () const
virtual void	SetCliqueWeight_5 (double _arg)
virtual double	GetCliqueWeight_5 () const
virtual void	SetCliqueWeight_6 (double _arg)
virtual double	GetCliqueWeight_6 () const
Static Public Member Functions
static Pointer	New ()
Static Public Attributes
static const unsigned int	ImageDimension = TInputImage::ImageDimension
Protected Member Functions
virtual void	ApplyGibbsLabeller ()
virtual void	ApplyGPImageFilter ()
virtual void	GenerateData ()
virtual void	MinimizeFunctional ()
	typedef (Concept::SameDimension< itkGetStaticConstMacro(InputImageType::ImageDimension), itkGetStaticConstMacro(ClassifiedImageType::ImageDimension) >) SameDimension
	typedef (Concept::SameDimension< itkGetStaticConstMacro(InputImageType::ImageDimension), 3 >) DimensionShouldBe3
Private Types
typedef TInputImage::SizeType	InputImageSizeType
Private Member Functions
double	GibbsEnergy (unsigned int i, unsigned int k, unsigned int k1)
void	GibbsTotalEnergy (int i)
void	operator= (const Self &)
	RGBGibbsPriorFilter (const Self &)
Private Attributes
ClassifierType::Pointer	m_ClassifierPtr
unsigned int	m_ImageDepth
unsigned int	m_ImageHeight
double	m_ObjectThreshold
typedef vnl_matrix< double >	MatrixType
	RGBGibbsPriorFilter ()
	~RGBGibbsPriorFilter ()
void	PrintSelf (std::ostream &os, Indent indent) const

---

Detailed Description

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

The RGBGibbsPriorFilter applies Gibbs Prior model for the segmentation of MRF images.

The core of the method is based on the minimization of a Gibbsian energy function. This energy function f can be divided into three part: f = f_1 + f_2 + f_3; f_1 is related to the object homogeneity, f_2 is related to the boundary smoothness, f_3 is related to the constraint of the observation (or the noise model). The two force components f_1 and f_3 are minimized by the GradientEnergy method while f_2 is minized by the GibbsTotalEnergy method.

This filter only works with 3D images.

Definition at line 47 of file itkRGBGibbsPriorFilter.h.

---

Member Typedef Documentation

template<class TInputImage , class TClassifiedImage >

typedef TClassifiedImage itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::ClassifiedImageType

Type definitions for the training image.

Definition at line 80 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef ImageClassifierBase< TInputImage, TClassifiedImage > itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::ClassifierType

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

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

Definition at line 96 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef SmartPointer< const Self > itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::ConstPointer

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

Definition at line 55 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef TInputImage::IndexType itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::IndexType

Definition at line 100 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef Superclass::IndexValueType itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::IndexValueType

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

Definition at line 69 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef TInputImage::ConstPointer itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::InputImageConstPointer

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

Definition at line 74 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef Superclass::InputImagePixelType itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::InputImagePixelType

Types from superclass.

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

Definition at line 61 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef TInputImage::Pointer itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::InputImagePointer

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

Definition at line 73 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef Superclass::InputImageRegionConstIterator itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::InputImageRegionConstIterator

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

Definition at line 65 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef Superclass::InputImageRegionIterator itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::InputImageRegionIterator

Type definition for the input image region iterator

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

Definition at line 66 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef TInputImage::SizeType itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::InputImageSizeType [private]

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

Definition at line 194 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef TInputImage itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::InputImageType

A smart pointer to the input image type.

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

Definition at line 72 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef TInputImage::PixelType itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::InputImageVecType

The type of input pixel.

Definition at line 99 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef TInputImage::PixelType itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::InputPixelType

Type definition for the input image pixel type.

Definition at line 77 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef TClassifiedImage::IndexType itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::LabelledImageIndexType

Type definition for the classified image index type.

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

Definition at line 88 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef Superclass::LabelledImagePixelType itk::RGBGibbsPriorFilter< 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 68 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef Superclass::LabelledImageRegionIterator itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::LabelledImageRegionIterator

Type definition for the input image region iterator

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

Definition at line 67 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef TClassifiedImage::Pointer itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::LabelledImageType

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

Definition at line 85 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef unsigned int itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::LabelType

Type used as identifier for the Labels

Warning:

-1 cannot be used as the identifier for unlabeled pixels the NumericTraits<>::max() value is used for indicating unlabeled pixels

Definition at line 93 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef vnl_matrix< double > itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::MatrixType

Specify the type of matrix to use.

Definition at line 157 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef SmartPointer< Self > itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::Pointer

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

Definition at line 54 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef RGBGibbsPriorFilter itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::Self

Standard "Self" typedef.

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

Definition at line 52 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef MRFImageFilter< TInputImage, TClassifiedImage > itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::Superclass

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

Definition at line 53 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef TClassifiedImage::Pointer itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::TrainingImageType

Definition at line 81 of file itkRGBGibbsPriorFilter.h.

---

Constructor & Destructor Documentation

template<class TInputImage , class TClassifiedImage >

itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::RGBGibbsPriorFilter

(

)

[protected]

Specify the type of matrix to use.

template<class TInputImage , class TClassifiedImage >

itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::~RGBGibbsPriorFilter

(

)

[protected]

Specify the type of matrix to use.

template<class TInputImage , class TClassifiedImage >

itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::RGBGibbsPriorFilter

(

const Self &

)

[private]

End concept checking

---

Member Function Documentation

template<class TInputImage , class TClassifiedImage >

virtual void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::ApplyGibbsLabeller

(

)

[protected, virtual]

template<class TInputImage , class TClassifiedImage >

virtual void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::ApplyGPImageFilter

(

)

[protected, virtual]

template<class TInputImage , class TClassifiedImage >

virtual::itk::LightObject::Pointer itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::CreateAnother

(

void

)

const [virtual]

Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.

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

template<class TInputImage , class TClassifiedImage >

virtual void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::GenerateData

(

void

)

[protected, virtual]

A version of GenerateData() specific for image processing filters. This implementation will split the processing across multiple threads. The buffer is allocated by this method. Then the BeforeThreadedGenerateData() method is called (if provided). Then, a series of threads are spawned each calling ThreadedGenerateData(). After all the threads have completed processing, the AfterThreadedGenerateData() method is called (if provided). If an image processing filter cannot be threaded, the filter should provide an implementation of GenerateData(). That implementation is responsible for allocating the output buffer. If a filter an be threaded, it should NOT provide a GenerateData() method but should provide a ThreadedGenerateData() instead.

See also:

ThreadedGenerateData()

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

template<class TInputImage , class TClassifiedImage >

virtual double itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::GetCliqueWeight_1

(

)

const [virtual]

set and get the value for Clique weights

template<class TInputImage , class TClassifiedImage >

virtual double itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::GetCliqueWeight_2

(

)

const [virtual]

set and get the value for Clique weights

template<class TInputImage , class TClassifiedImage >

virtual double itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::GetCliqueWeight_3

(

)

const [virtual]

set and get the value for Clique weights

template<class TInputImage , class TClassifiedImage >

virtual double itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::GetCliqueWeight_4

(

)

const [virtual]

set and get the value for Clique weights

template<class TInputImage , class TClassifiedImage >

virtual double itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::GetCliqueWeight_5

(

)

const [virtual]

set and get the value for Clique weights

template<class TInputImage , class TClassifiedImage >

virtual double itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::GetCliqueWeight_6

(

)

const [virtual]

set and get the value for Clique weights

template<class TInputImage , class TClassifiedImage >

LabelledImageType itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::GetLabelledImage

(

void

)

[inline]

Get the labelled image.

Definition at line 109 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

virtual unsigned int itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::GetMaximumNumberOfIterations

(

)

const [virtual]

Get the number of iterations of the Iterated Conditional Mode (ICM) algorithm.

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

template<class TInputImage , class TClassifiedImage >

virtual const char* itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::GetNameOfClass

(

)

const [virtual]

Run-time type information (and related methods).

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

template<class TInputImage , class TClassifiedImage >

virtual unsigned int itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::GetNumberOfClasses

(

)

const [virtual]

Get the Number of classes.

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

template<class TInputImage , class TClassifiedImage >

double itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::GibbsEnergy	(	unsigned int	i,
		unsigned int	k,
		unsigned int	k1
	)		[private]

calculate the energy in each cluster.

template<class TInputImage , class TClassifiedImage >

void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::GibbsTotalEnergy

(

int

i

)

[private]

region size smaller than the threshold will be erased. the label for object region. the channel number in the image. the point give lowest value of H-1 in neighbor. for region erase. for region erase. weights for different clique configuration. weight for cliques that v/h smooth boundayr weight for clique that has an intermadiate smooth boundary weight for clique that has a diagonal smooth boundary weight for clique consists only object pixels weight for clique consists only background pixels weight for clique other than these calculate H_2.

template<class TInputImage , class TClassifiedImage >

virtual void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::MinimizeFunctional

(

)

[protected, virtual]

allocate memory space for the filter.

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

template<class TInputImage , class TClassifiedImage >

static Pointer itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::New

(

)

[static]

Method for creation through the object factory.

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

template<class TInputImage , class TClassifiedImage >

void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::operator=

(

const Self &

)

[private]

PushBackInput(), PushFronInput() in the public section force the input to be the type expected by an ImageToImageFilter. However, these methods end of "hiding" the versions from the superclass (ProcessObject) whose arguments are DataObjects. Here, we re-expose the versions from ProcessObject to avoid warnings about hiding methods from the superclass.

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

template<class TInputImage , class TClassifiedImage >

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

Specify the type of matrix to use.

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

template<class TInputImage , class TClassifiedImage >

virtual void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::SetBoundaryGradient

(

unsigned int

_arg

)

[virtual]

template<class TInputImage , class TClassifiedImage >

void itk::RGBGibbsPriorFilter< 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::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::SetCliqueWeight_1

(

double

_arg

)

[virtual]

set and get the value for Clique weights

template<class TInputImage , class TClassifiedImage >

virtual void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::SetCliqueWeight_2

(

double

_arg

)

[virtual]

set and get the value for Clique weights

template<class TInputImage , class TClassifiedImage >

virtual void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::SetCliqueWeight_3

(

double

_arg

)

[virtual]

set and get the value for Clique weights

template<class TInputImage , class TClassifiedImage >

virtual void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::SetCliqueWeight_4

(

double

_arg

)

[virtual]

set and get the value for Clique weights

template<class TInputImage , class TClassifiedImage >

virtual void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::SetCliqueWeight_5

(

double

_arg

)

[virtual]

set and get the value for Clique weights

template<class TInputImage , class TClassifiedImage >

virtual void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::SetCliqueWeight_6

(

double

_arg

)

[virtual]

set and get the value for Clique weights

template<class TInputImage , class TClassifiedImage >

virtual void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::SetClusterSize

(

unsigned int

_arg

)

[virtual]

Set the threshold for the object size.

template<class TInputImage , class TClassifiedImage >

void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::SetLabelledImage

(

LabelledImageType

LabelledImage

)

Set the labelled image.

template<class TInputImage , class TClassifiedImage >

virtual void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::SetMaximumNumberOfIterations

(

unsigned int

_arg

)

[virtual]

Set/Get the number of iteration 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::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::SetNumberOfClasses

(

unsigned int

_arg

)

[virtual]

Set the Number of classes.

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

template<class TInputImage , class TClassifiedImage >

virtual void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::SetObjectLabel

(

LabelType

_arg

)

[virtual]

Set the label for the object region.

template<class TInputImage , class TClassifiedImage >

virtual void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::SetObjectThreshold

(

double

_arg

)

[virtual]

template<class TInputImage , class TClassifiedImage >

virtual void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::SetStartPoint

(

IndexType

_arg

)

[virtual]

template<class TInputImage , class TClassifiedImage >

void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::SetTrainingImage

(

TrainingImageType

image

)

Set the image required for training type classifiers.

template<class TInputImage , class TClassifiedImage >

itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::typedef

(

Concept::SameDimension< itkGetStaticConstMacro(InputImageType::ImageDimension), itkGetStaticConstMacro(ClassifiedImageType::ImageDimension) >

)

[protected]

Begin concept checking This class requires SameDimension in the form of ( Concept::SameDimension< itkGetStaticConstMacro(InputImageType::ImageDimension), itkGetStaticConstMacro(ClassifiedImageType::ImageDimension) > )

template<class TInputImage , class TClassifiedImage >

itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::typedef

(

Concept::SameDimension< itkGetStaticConstMacro(InputImageType::ImageDimension), 3 >

)

[protected]

This class requires DimensionShouldBe3 in the form of ( Concept::SameDimension< itkGetStaticConstMacro(InputImageType::ImageDimension), 3 > )

---

Member Data Documentation

template<class TInputImage , class TClassifiedImage >

const unsigned int itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::ImageDimension = TInputImage::ImageDimension [static]

Extract the input image dimension.

Definition at line 137 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

ClassifierType::Pointer itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_ClassifierPtr [private]

the input image to train the filter. output the number of class need to be classified. number of the iteration.

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

Definition at line 210 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

unsigned int itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_ImageDepth [private]

Definition at line 234 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

unsigned int itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_ImageHeight [private]

the threshold for the existence of a boundary. weight for H_1 weight for H_2 define the start region of the object. number of SA iterations. array for the state of each pixel. the medium image to store intermedium result for SA algo. the seed of object image size.

Definition at line 233 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

double itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_ObjectThreshold [private]

method to return 1 when a equal to b. help to erase the small region. erase the small region. create the intermedium image. calculate H_1.

Definition at line 286 of file itkRGBGibbsPriorFilter.h.

---

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

• itkRGBGibbsPriorFilter.h