itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType > Class Template Reference

#include <itkBayesianClassifierImageFilter.h>

Inheritance diagram for itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >:

Collaboration diagram for itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >:

List of all members.

Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef Superclass::DataObjectPointer	DataObjectPointer
typedef ProcessObject::DataObjectPointerArraySizeType	DataObjectPointerArraySizeType
typedef DecisionRuleType::Pointer	DecisionRulePointer
typedef Statistics::MaximumDecisionRule	DecisionRuleType
typedef itk::Image < TPosteriorsPrecisionType, itkGetStaticConstMacro(Dimension) >	ExtractedComponentImageType
typedef InputImageType::RegionType	ImageRegionType
typedef ImageRegionConstIterator < InputImageType >	InputImageIteratorType
typedef InputImageType::ConstPointer	InputImagePointer
typedef Superclass::InputImageType	InputImageType
typedef InputImageType::PixelType	InputPixelType
typedef ImageRegionConstIterator < MembershipImageType >	MembershipImageIteratorType
typedef MembershipImageType::Pointer	MembershipImagePointer
typedef TInputVectorImage	MembershipImageType
typedef MembershipImageType::PixelType	MembershipPixelType
typedef ImageRegionIterator < OutputImageType >	OutputImageIteratorType
typedef OutputImageType::Pointer	OutputImagePointer
typedef Image< TLabelsType, itkGetStaticConstMacro(Dimension) >	OutputImageType
typedef OutputImageType::PixelType	OutputPixelType
typedef SmartPointer< Self >	Pointer
typedef ImageRegionIterator < PosteriorsImageType >	PosteriorsImageIteratorType
typedef PosteriorsImageType::Pointer	PosteriorsImagePointer
typedef VectorImage < TPosteriorsPrecisionType, itkGetStaticConstMacro(Dimension) >	PosteriorsImageType
typedef PosteriorsImageType::PixelType	PosteriorsPixelType
typedef ImageRegionConstIterator < PriorsImageType >	PriorsImageIteratorType
typedef PriorsImageType::Pointer	PriorsImagePointer
typedef VectorImage < TPriorsPrecisionType, itkGetStaticConstMacro(Dimension) >	PriorsImageType
typedef PriorsImageType::PixelType	PriorsPixelType
typedef BayesianClassifierImageFilter	Self
typedef SmoothingFilterType::Pointer	SmoothingFilterPointer
typedef ImageToImageFilter < ExtractedComponentImageType, ExtractedComponentImageType >	SmoothingFilterType
typedef ImageToImageFilter < TInputVectorImage, Image < TLabelsType,::itk::GetImageDimension < TInputVectorImage > ::ImageDimension > >	Superclass
Public Types inherited from itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >
typedef InputImageType::ConstPointer	InputImageConstPointer
typedef InputImageType::PixelType	InputImagePixelType
typedef InputImageType::RegionType	InputImageRegionType
typedef Superclass::OutputImagePixelType	OutputImagePixelType
typedef Superclass::OutputImageRegionType	OutputImageRegionType
Public Types inherited from itk::ImageSource< Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >
typedef Superclass::DataObjectIdentifierType	DataObjectIdentifierType
Public Types inherited from itk::ProcessObject
typedef std::vector < DataObjectPointer >	DataObjectPointerArray
typedef std::vector < DataObjectIdentifierType >	NameArray
Public Types inherited from itk::Object
Public Types inherited from itk::LightObject

Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
virtual const char *	GetNameOfClass () const
virtual SmoothingFilterPointer	GetSmoothingFilter () const
virtual DataObjectPointer	MakeOutput (DataObjectPointerArraySizeType idx)
virtual void	SetPriors (const PriorsImageType *)
void	SetSmoothingFilter (SmoothingFilterType *)
	typedef (Concept::Convertible< unsigned int, TLabelsType >) UnsignedIntConvertibleToLabelsCheck
	typedef (Concept::AdditiveOperators< TPosteriorsPrecisionType >) PosteriorsAdditiveOperatorsCheck
	typedef (Concept::Convertible< int, TPosteriorsPrecisionType >) IntConvertibleToPosteriorsCheck
	typedef (Concept::HasNumericTraits< typename InputPixelType::ValueType >) InputHasNumericTraitsCheck
	typedef (Concept::HasNumericTraits< TPosteriorsPrecisionType >) PosteriorsHasNumericTraitsCheck
	typedef (Concept::HasNumericTraits< TPriorsPrecisionType >) PriorsHasNumericTraitsCheck
	typedef (Concept::MultiplyOperator< typename InputPixelType::ValueType, PriorsPixelType, PosteriorsPixelType >) InputPriorsPosteriorsMultiplyOperatorCheck
virtual void	SetNumberOfSmoothingIterations (unsigned int _arg)
virtual unsigned int	GetNumberOfSmoothingIterations () const
Public Member Functions inherited from itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >
const InputImageType *	GetInput (void) const
const InputImageType *	GetInput (unsigned int idx) const
virtual void	PopBackInput ()
virtual void	PopFrontInput ()
virtual void	PushBackInput (const InputImageType *image)
virtual void	PushFrontInput (const InputImageType *image)
virtual void	SetInput (const InputImageType *image)
virtual void	SetInput (unsigned int, const TInputVectorImage *image)
Public Member Functions inherited from itk::ImageSource< Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >
OutputImageType *	GetOutput (unsigned int idx)
virtual void	GraftNthOutput (unsigned int idx, DataObject *output)
virtual void	GraftOutput (DataObject *output)
virtual void	GraftOutput (const DataObjectIdentifierType &key, DataObject *output)
OutputImageType *	GetOutput (void)
const OutputImageType *	GetOutput (void) const
Public Member Functions inherited from itk::ProcessObject
virtual void	AbortGenerateDataOff ()
virtual void	AbortGenerateDataOn ()
virtual void	EnlargeOutputRequestedRegion (DataObject *)
virtual const bool &	GetAbortGenerateData ()
NameArray	GetInputNames () const
MultiThreader *	GetMultiThreader () const
DataObjectPointerArraySizeType	GetNumberOfIndexedInputs () const
DataObjectPointerArraySizeType	GetNumberOfInputs () const
DataObjectPointerArraySizeType	GetNumberOfOutputs () const
virtual DataObjectPointerArraySizeType	GetNumberOfValidRequiredInputs () const
NameArray	GetOutputNames () const
virtual const float &	GetProgress ()
NameArray	GetRequiredInputNames () const
bool	HasInput (const DataObjectIdentifierType &key) const
bool	HasOutput (const DataObjectIdentifierType &key) const
virtual DataObjectPointer	MakeOutput (const DataObjectIdentifierType &)
virtual void	PrepareOutputs ()
virtual void	PropagateRequestedRegion (DataObject *output)
virtual void	ResetPipeline ()
virtual void	SetAbortGenerateData (bool _arg)
virtual void	SetProgress (float _arg)
virtual void	Update ()
virtual void	UpdateLargestPossibleRegion ()
virtual void	UpdateOutputData (DataObject *output)
virtual void	UpdateOutputInformation ()
void	UpdateProgress (float amount)
DataObjectPointerArray	GetInputs ()
DataObjectPointerArray	GetOutputs ()
DataObjectPointerArray	GetIndexedInputs ()
DataObjectPointerArray	GetIndexedOutputs ()
DataObjectPointerArraySizeType	GetNumberOfIndexedOutputs () const
virtual void	SetReleaseDataFlag (bool flag)
virtual bool	GetReleaseDataFlag () const
void	ReleaseDataFlagOn ()
void	ReleaseDataFlagOff ()
virtual void	SetReleaseDataBeforeUpdateFlag (bool _arg)
virtual const bool &	GetReleaseDataBeforeUpdateFlag ()
virtual void	ReleaseDataBeforeUpdateFlagOn ()
virtual void	ReleaseDataBeforeUpdateFlagOff ()
virtual void	SetNumberOfThreads (ThreadIdType _arg)
virtual const ThreadIdType &	GetNumberOfThreads ()
Public Member Functions inherited from itk::Object
unsigned long	AddObserver (const EventObject &event, Command *)
unsigned long	AddObserver (const EventObject &event, Command *) const
virtual void	DebugOff () const
virtual void	DebugOn () const
Command *	GetCommand (unsigned long tag)
bool	GetDebug () const
MetaDataDictionary &	GetMetaDataDictionary (void)
const MetaDataDictionary &	GetMetaDataDictionary (void) const
virtual unsigned long	GetMTime () const
virtual const TimeStamp &	GetTimeStamp () const
bool	HasObserver (const EventObject &event) const
void	InvokeEvent (const EventObject &)
void	InvokeEvent (const EventObject &) const
virtual void	Modified () const
virtual void	Register () const
void	RemoveAllObservers ()
void	RemoveObserver (unsigned long tag)
void	SetDebug (bool debugFlag) const
void	SetMetaDataDictionary (const MetaDataDictionary &rhs)
virtual void	SetReferenceCount (int)
virtual void	UnRegister () const
Public Member Functions inherited from itk::LightObject
virtual void	Delete ()
virtual int	GetReferenceCount () const
	itkCloneMacro (Self)
void	Print (std::ostream &os, Indent indent=0) const

Static Public Member Functions
static Pointer	New ()

Static Public Attributes
static const unsigned int	Dimension = ::itk::GetImageDimension< InputImageType >::ImageDimension
Static Public Attributes inherited from itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >
static const unsigned int	InputImageDimension
static const unsigned int	OutputImageDimension
Static Public Attributes inherited from itk::ImageSource< Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >

Protected Member Functions
	BayesianClassifierImageFilter ()
virtual void	ClassifyBasedOnPosteriors ()
virtual void	ComputeBayesRule ()
virtual void	GenerateData ()
virtual void	GenerateOutputInformation (void)
PosteriorsImageType *	GetPosteriorImage ()
virtual void	NormalizeAndSmoothPosteriors ()
void	PrintSelf (std::ostream &os, Indent indent) const
virtual	~BayesianClassifierImageFilter ()
Protected Member Functions inherited from itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >
virtual void	CallCopyInputRegionToOutputRegion (OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion)
virtual void	CallCopyOutputRegionToInputRegion (InputImageRegionType &destRegion, const OutputImageRegionType &srcRegion)
virtual void	GenerateInputRequestedRegion ()
	ImageToImageFilter ()
virtual void	VerifyInputInformation ()
	~ImageToImageFilter ()
void	PushBackInput (const DataObject *input)
void	PushFrontInput (const DataObject *input)
Protected Member Functions inherited from itk::ImageSource< Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >
virtual void	AfterThreadedGenerateData ()
virtual void	AllocateOutputs ()
virtual void	BeforeThreadedGenerateData ()
	ImageSource ()
virtual unsigned int	SplitRequestedRegion (unsigned int i, unsigned int num, OutputImageRegionType &splitRegion)
virtual void	ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, ThreadIdType threadId)
virtual	~ImageSource ()
Protected Member Functions inherited from itk::ProcessObject
virtual void	AddInput (DataObject *input)
virtual void	AddOutput (DataObject *output)
bool	AddRequiredInputName (const DataObjectIdentifierType &)
virtual void	CacheInputReleaseDataFlags ()
virtual void	GenerateOutputRequestedRegion (DataObject *output)
virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredInputs ()
virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredOutputs ()
bool	IsIndexedName (const DataObjectIdentifierType &) const
bool	IsRequiredInputName (const DataObjectIdentifierType &) const
	itkLegacyMacro (virtual void RemoveInput(DataObject *input))
	itkLegacyMacro (virtual void RemoveOutput(DataObject *output))
	itkLegacyMacro (void SetNumberOfInputs(DataObjectPointerArraySizeType num))
	itkLegacyMacro (void SetNumberOfOutputs(DataObjectPointerArraySizeType num))
DataObjectPointerArraySizeType	MakeIndexFromName (const DataObjectIdentifierType &) const
DataObjectIdentifierType	MakeNameFromIndex (DataObjectPointerArraySizeType) const
	ProcessObject ()
virtual void	PropagateResetPipeline ()
virtual void	ReleaseInputs ()
virtual void	RemoveInput (const DataObjectIdentifierType &key)
virtual void	RemoveInput (DataObjectPointerArraySizeType)
virtual void	RemoveOutput (const DataObjectIdentifierType &key)
virtual void	RemoveOutput (DataObjectPointerArraySizeType idx)
bool	RemoveRequiredInputName (const DataObjectIdentifierType &)
virtual void	RestoreInputReleaseDataFlags ()
virtual void	SetInput (const DataObjectIdentifierType &key, DataObject *input)
virtual void	SetNthInput (DataObjectPointerArraySizeType num, DataObject *input)
virtual void	SetNthOutput (DataObjectPointerArraySizeType num, DataObject *output)
void	SetNumberOfIndexedInputs (DataObjectPointerArraySizeType num)
void	SetNumberOfIndexedOutputs (DataObjectPointerArraySizeType num)
virtual void	SetNumberOfRequiredInputs (DataObjectPointerArraySizeType)
virtual void	SetNumberOfRequiredOutputs (DataObjectPointerArraySizeType _arg)
virtual void	SetOutput (const DataObjectIdentifierType &key, DataObject *output)
virtual void	SetPrimaryInput (DataObject *input)
virtual void	SetPrimaryOutput (DataObject *output)
void	SetRequiredInputNames (const NameArray &)
virtual void	VerifyPreconditions ()
	~ProcessObject ()
DataObject *	GetInput (const DataObjectIdentifierType &key)
const DataObject *	GetInput (const DataObjectIdentifierType &key) const
DataObject *	GetInput (DataObjectPointerArraySizeType)
const DataObject *	GetInput (DataObjectPointerArraySizeType idx) const
DataObject *	GetPrimaryInput ()
const DataObject *	GetPrimaryInput () const
DataObject *	GetOutput (const DataObjectIdentifierType &key)
const DataObject *	GetOutput (const DataObjectIdentifierType &key) const
DataObject *	GetOutput (DataObjectPointerArraySizeType idx)
const DataObject *	GetOutput (DataObjectPointerArraySizeType idx) const
DataObject *	GetPrimaryOutput ()
const DataObject *	GetPrimaryOutput () const
Protected Member Functions inherited from itk::Object
	Object ()
bool	PrintObservers (std::ostream &os, Indent indent) const
virtual void	SetTimeStamp (const TimeStamp &time)
virtual	~Object ()
Protected Member Functions inherited from itk::LightObject
virtual LightObject::Pointer	InternalClone () const
	LightObject ()
virtual void	PrintHeader (std::ostream &os, Indent indent) const
virtual void	PrintTrailer (std::ostream &os, Indent indent) const
virtual	~LightObject ()

Private Member Functions
	BayesianClassifierImageFilter (const Self &)
void	operator= (const Self &)

Private Attributes
unsigned int	m_NumberOfSmoothingIterations
SmoothingFilterPointer	m_SmoothingFilter
bool	m_UserProvidedPriors
bool	m_UserProvidedSmoothingFilter

Additional Inherited Members
Protected Types inherited from itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >
typedef ImageToImageFilterDetail::ImageRegionCopier < itkGetStaticConstMacro(OutputImageDimension), itkGetStaticConstMacro(InputImageDimension) >	InputToOutputRegionCopierType
typedef ImageToImageFilterDetail::ImageRegionCopier < itkGetStaticConstMacro(InputImageDimension), itkGetStaticConstMacro(OutputImageDimension) >	OutputToInputRegionCopierType

---

Detailed Description

template<class TInputVectorImage, class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>
class itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >

Performs Bayesian Classification on an image.

Inputs and Outputs

The input to this filter is an itk::VectorImage that represents pixel memberships to 'n' classes. This image is conveniently generated by the BayesianClassifierInitializationImageFilter. You may use that filter to generate the membership images or specify your own.

The output of the filter is a label map (an image of unsigned char's is the default.) with pixel values indicating the classes they correspond to. Pixels with intensity 0 belong to the 0th class, 1 belong to the 1st class etc.... The classification is done by applying a Maximum decision rule to the posterior image.

Parameters

The filter optionally allows you to specify a prior image as well. The prior image, if specified must be a VectorImage with as many components as the number of classes. The posterior image is then generated by multiplying the prior image with the membership image. If the prior image is not specified, the posterior image is the same as the membership image. Another way to look at it is that the priors default to having a uniform distribution over the number of classes. Posterior membership of a pixel = Prior * Membership

The filter optionally accepts a smoothing filter and number of iterations associated with the smoothing filter. The philosophy is that the filter allows you to iteratively smooth the posteriors prior to applying the decision rule. It is hoped that this would yield a better classification. The user will need to plug in his own smoothing filter with all the parameters set.

Template parameters

InputVectorImage, datatype of the output labelmap, precision of the posterior image, precision of the prior image.

Author:

John Melonakos, Georgia Tech

Note:

This work is part of the National Alliance for Medical Image Computing (NAMIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149.

See also:

VectorImage

BayesianClassifierInitializationImageFilter

Definition at line 81 of file itkBayesianClassifierImageFilter.h.

---

Member Typedef Documentation

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

typedef SmartPointer< const Self > itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::ConstPointer

Reimplemented from itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >.

Definition at line 96 of file itkBayesianClassifierImageFilter.h.

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

typedef Superclass::DataObjectPointer itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::DataObjectPointer

Smart Pointer type to a DataObject.

Reimplemented from itk::ImageSource< Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >.

Definition at line 157 of file itkBayesianClassifierImageFilter.h.

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

typedef ProcessObject::DataObjectPointerArraySizeType itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::DataObjectPointerArraySizeType

This is overloaded to create the Posteriors output image

Reimplemented from itk::ImageSource< Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >.

Definition at line 181 of file itkBayesianClassifierImageFilter.h.

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

typedef DecisionRuleType::Pointer itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::DecisionRulePointer

Definition at line 155 of file itkBayesianClassifierImageFilter.h.

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

typedef Statistics::MaximumDecisionRule itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::DecisionRuleType

Decision rule to use for defining the label

Definition at line 154 of file itkBayesianClassifierImageFilter.h.

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

typedef itk::Image< TPosteriorsPrecisionType, itkGetStaticConstMacro(Dimension) > itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::ExtractedComponentImageType

An image from a single component of the Posterior

Definition at line 161 of file itkBayesianClassifierImageFilter.h.

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

typedef InputImageType::RegionType itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::ImageRegionType

Definition at line 115 of file itkBayesianClassifierImageFilter.h.

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

typedef ImageRegionConstIterator< InputImageType > itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::InputImageIteratorType

Input and Output image iterators

Definition at line 118 of file itkBayesianClassifierImageFilter.h.

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

typedef InputImageType::ConstPointer itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::InputImagePointer

Reimplemented from itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >.

Definition at line 113 of file itkBayesianClassifierImageFilter.h.

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

typedef Superclass::InputImageType itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::InputImageType

Input and Output image types

Reimplemented from itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >.

Definition at line 102 of file itkBayesianClassifierImageFilter.h.

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

typedef InputImageType::PixelType itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::InputPixelType

Pixel types.

Definition at line 122 of file itkBayesianClassifierImageFilter.h.

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

typedef ImageRegionConstIterator< MembershipImageType > itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::MembershipImageIteratorType

Definition at line 141 of file itkBayesianClassifierImageFilter.h.

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

typedef MembershipImageType::Pointer itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::MembershipImagePointer

Definition at line 140 of file itkBayesianClassifierImageFilter.h.

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

typedef TInputVectorImage itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::MembershipImageType

Image Type and Pixel type for the images representing the membership of a pixel to a particular class. This image has arrays as pixels, the number of elements in the array is the same as the number of classes to be used.

Definition at line 138 of file itkBayesianClassifierImageFilter.h.

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

typedef MembershipImageType::PixelType itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::MembershipPixelType

Definition at line 139 of file itkBayesianClassifierImageFilter.h.

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

typedef ImageRegionIterator< OutputImageType > itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::OutputImageIteratorType

Definition at line 119 of file itkBayesianClassifierImageFilter.h.

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

typedef OutputImageType::Pointer itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::OutputImagePointer

Reimplemented from itk::ImageSource< Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >.

Definition at line 114 of file itkBayesianClassifierImageFilter.h.

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

typedef Image< TLabelsType, itkGetStaticConstMacro(Dimension) > itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::OutputImageType

Some convenient typedefs.

Reimplemented from itk::ImageSource< Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >.

Definition at line 112 of file itkBayesianClassifierImageFilter.h.

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

typedef OutputImageType::PixelType itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::OutputPixelType

Definition at line 123 of file itkBayesianClassifierImageFilter.h.

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

typedef SmartPointer< Self > itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::Pointer

Reimplemented from itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >.

Definition at line 95 of file itkBayesianClassifierImageFilter.h.

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

typedef ImageRegionIterator< PosteriorsImageType > itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::PosteriorsImageIteratorType

Definition at line 151 of file itkBayesianClassifierImageFilter.h.

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

typedef PosteriorsImageType::Pointer itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::PosteriorsImagePointer

Definition at line 150 of file itkBayesianClassifierImageFilter.h.

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

typedef VectorImage< TPosteriorsPrecisionType, itkGetStaticConstMacro(Dimension) > itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::PosteriorsImageType

Image Type and Pixel type for the images representing the Posterior probability of a pixel belonging to a particular class. This image has arrays as pixels, the number of elements in the array is the same as the number of classes to be used.

Definition at line 148 of file itkBayesianClassifierImageFilter.h.

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

typedef PosteriorsImageType::PixelType itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::PosteriorsPixelType

Definition at line 149 of file itkBayesianClassifierImageFilter.h.

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

typedef ImageRegionConstIterator< PriorsImageType > itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::PriorsImageIteratorType

Definition at line 133 of file itkBayesianClassifierImageFilter.h.

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

typedef PriorsImageType::Pointer itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::PriorsImagePointer

Definition at line 132 of file itkBayesianClassifierImageFilter.h.

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

typedef VectorImage< TPriorsPrecisionType, itkGetStaticConstMacro(Dimension) > itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::PriorsImageType

Image Type and Pixel type for the images representing the Prior probability of a pixel belonging to a particular class. This image has arrays as pixels, the number of elements in the array is the same as the number of classes to be used.

Definition at line 130 of file itkBayesianClassifierImageFilter.h.

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

typedef PriorsImageType::PixelType itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::PriorsPixelType

Definition at line 131 of file itkBayesianClassifierImageFilter.h.

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

typedef BayesianClassifierImageFilter itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::Self

Standard class typedefs.

Reimplemented from itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >.

Definition at line 88 of file itkBayesianClassifierImageFilter.h.

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

typedef SmoothingFilterType::Pointer itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::SmoothingFilterPointer

Definition at line 168 of file itkBayesianClassifierImageFilter.h.

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

typedef ImageToImageFilter< ExtractedComponentImageType, ExtractedComponentImageType > itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::SmoothingFilterType

Optional Smoothing filter that will be applied to the Posteriors

Definition at line 166 of file itkBayesianClassifierImageFilter.h.

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

typedef ImageToImageFilter< TInputVectorImage, Image< TLabelsType, ::itk::GetImageDimension< TInputVectorImage >::ImageDimension > > itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::Superclass

Reimplemented from itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >.

Definition at line 93 of file itkBayesianClassifierImageFilter.h.

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Constructor & Destructor Documentation

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::BayesianClassifierImageFilter ( )

protected

End concept checking

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

virtual itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::~BayesianClassifierImageFilter ( )

inlineprotectedvirtual

Definition at line 212 of file itkBayesianClassifierImageFilter.h.

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::BayesianClassifierImageFilter ( const Self &  )

private

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Member Function Documentation

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

virtual void itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::ClassifyBasedOnPosteriors ( )

protectedvirtual

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

virtual void itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::ComputeBayesRule ( )

protectedvirtual

Methods for computing the labeled map for all combinations of conditions

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

virtual::itk::LightObject::Pointer itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::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::Object.

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

virtual void itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::GenerateData ( )

protectedvirtual

Here is where the classification is computed.

Reimplemented from itk::ImageSource< Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >.

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

virtual void itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::GenerateOutputInformation ( void  )

protectedvirtual

Generate the information describing the output data. The default implementation of this method will copy information from the input to the output. A filter may override this method if its output will have different information than its input. For instance, a filter that shrinks an image will need to provide an implementation for this method that changes the spacing of the pixels. Such filters should call their superclass' implementation of this method prior to changing the information values they need (i.e. GenerateOutputInformation() should call Superclass::GenerateOutputInformation() prior to changing the information.

Reimplemented from itk::ProcessObject.

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

virtual const char* itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::GetNameOfClass ( ) const

virtual

Run-time type information (and related methods).

Reimplemented from itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >.

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

virtual unsigned int itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::GetNumberOfSmoothingIterations ( ) const

virtual

Number of iterations to apply the smoothing filter

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

PosteriorsImageType* itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::GetPosteriorImage ( )

protected

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

virtual SmoothingFilterPointer itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::GetSmoothingFilter ( ) const

virtual

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

virtual DataObjectPointer itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::MakeOutput ( DataObjectPointerArraySizeType  idx )

virtual

Make a DataObject of the correct type to used as the specified output. Every ProcessObject subclass must be able to create a DataObject that can be used as a specified output. This method is automatically called when DataObject::DisconnectPipeline() is called. DataObject::DisconnectPipeline, disconnects a data object from being an output of its current source. When the data object is disconnected, the ProcessObject needs to construct a replacement output data object so that the ProcessObject is in a valid state. So DataObject::DisconnectPipeline eventually calls ProcessObject::MakeOutput. Note that MakeOutput always returns a itkSmartPointer to a DataObject. ImageSource and MeshSource override this method to create the correct type of image and mesh respectively. If a filter has multiple outputs of different types, then that filter must provide an implementation of MakeOutput().

Reimplemented from itk::ImageSource< Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >.

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

static Pointer itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::New ( )

static

Method for creation through the object factory.

Reimplemented from itk::Object.

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

virtual void itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::NormalizeAndSmoothPosteriors ( )

protectedvirtual

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

void itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::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::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >.

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

void itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::PrintSelf ( std::ostream &  os, Indent  indent  ) const

protectedvirtual

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::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >.

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

virtual void itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::SetNumberOfSmoothingIterations ( unsigned int  _arg )

virtual

Number of iterations to apply the smoothing filter

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

virtual void itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::SetPriors ( const PriorsImageType *  )

virtual

Set the priors

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

void itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::SetSmoothingFilter

(

SmoothingFilterType *

)

Set/ Get macros for the smoothing filter that may optionally be applied to the posterior image

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::typedef

(

Concept::Convertible< unsigned int, TLabelsType >

)

Begin concept checking This class requires UnsignedIntConvertibleToLabelsCheck in the form of ( Concept::Convertible< unsigned int, TLabelsType > )

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::typedef

(

Concept::AdditiveOperators< TPosteriorsPrecisionType >

)

This class requires PosteriorsAdditiveOperatorsCheck in the form of ( Concept::AdditiveOperators< TPosteriorsPrecisionType > )

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::typedef

(

Concept::Convertible< int, TPosteriorsPrecisionType >

)

This class requires IntConvertibleToPosteriorsCheck in the form of ( Concept::Convertible< int, TPosteriorsPrecisionType > )

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::typedef

(

Concept::HasNumericTraits< typename InputPixelType::ValueType >

)

This class requires InputHasNumericTraitsCheck in the form of ( Concept::HasNumericTraits< typename InputPixelType::ValueType > )

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::typedef

(

Concept::HasNumericTraits< TPosteriorsPrecisionType >

)

This class requires PosteriorsHasNumericTraitsCheck in the form of ( Concept::HasNumericTraits< TPosteriorsPrecisionType > )

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::typedef

(

Concept::HasNumericTraits< TPriorsPrecisionType >

)

This class requires PriorsHasNumericTraitsCheck in the form of ( Concept::HasNumericTraits< TPriorsPrecisionType > )

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::typedef

(

Concept::MultiplyOperator< typename InputPixelType::ValueType, PriorsPixelType, PosteriorsPixelType >

)

This class requires InputPriorsPosteriorsMultiplyOperatorCheck in the form of ( Concept::MultiplyOperator< typename InputPixelType::ValueType, PriorsPixelType, PosteriorsPixelType > )

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Member Data Documentation

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

const unsigned int itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::Dimension = ::itk::GetImageDimension< InputImageType >::ImageDimension

static

Dimension of the input image

Definition at line 109 of file itkBayesianClassifierImageFilter.h.

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

unsigned int itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::m_NumberOfSmoothingIterations

private

Number of iterations to apply the smoothing filter

Definition at line 245 of file itkBayesianClassifierImageFilter.h.

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

SmoothingFilterPointer itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::m_SmoothingFilter

private

Pointer to optional Smoothing filter

Definition at line 242 of file itkBayesianClassifierImageFilter.h.

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

bool itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::m_UserProvidedPriors

private

Boolean flag indicating that the user defined the Priors optional input

Definition at line 236 of file itkBayesianClassifierImageFilter.h.

template<class TInputVectorImage , class TLabelsType = unsigned char, class TPosteriorsPrecisionType = double, class TPriorsPrecisionType = double>

bool itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::m_UserProvidedSmoothingFilter

private

Boolean flag indicating that the user provided a Smoothing filter

Definition at line 239 of file itkBayesianClassifierImageFilter.h.

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

• itkBayesianClassifierImageFilter.h