itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType > Class Template Reference

#include <itkBayesianClassifierInitializationImageFilter.h>

Inheritance diagram for itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >:

Collaboration diagram for itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >:

List of all members.

Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef ImageRegionConstIterator < InputImageType >	InputImageIteratorType
typedef TInputImage	InputImageType
typedef InputImageType::PixelType	InputPixelType
typedef Vector< InputPixelType, 1 >	MeasurementVectorType
typedef MembershipFunctionContainerType::Pointer	MembershipFunctionContainerPointer
typedef VectorContainer < unsigned int, MembershipFunctionPointer >	MembershipFunctionContainerType
typedef MembershipFunctionType::Pointer	MembershipFunctionPointer
typedef Statistics::MembershipFunctionBase < MeasurementVectorType >	MembershipFunctionType
typedef ImageRegionIterator < MembershipImageType >	MembershipImageIteratorType
typedef MembershipImageType::Pointer	MembershipImagePointer
typedef VectorImage < ProbabilityPrecisionType, itkGetStaticConstMacro(Dimension) >	MembershipImageType
typedef MembershipImageType::PixelType	MembershipPixelType
typedef VectorImage < ProbabilityPrecisionType, itkGetStaticConstMacro(Dimension) >	OutputImageType
typedef OutputImageType::PixelType	OutputPixelType
typedef SmartPointer< Self >	Pointer
typedef TProbabilityPrecisionType	ProbabilityPrecisionType
typedef BayesianClassifierInitializationImageFilter	Self
typedef ImageToImageFilter < InputImageType, OutputImageType >	Superclass
Public Types inherited from itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >
typedef InputImageType::ConstPointer	InputImageConstPointer
typedef InputImageType::PixelType	InputImagePixelType
typedef InputImageType::Pointer	InputImagePointer
typedef InputImageType::RegionType	InputImageRegionType
typedef Superclass::OutputImagePixelType	OutputImagePixelType
typedef Superclass::OutputImageRegionType	OutputImageRegionType
Public Types inherited from itk::ImageSource< VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >
typedef Superclass::DataObjectIdentifierType	DataObjectIdentifierType
typedef DataObject::Pointer	DataObjectPointer
typedef Superclass::DataObjectPointerArraySizeType	DataObjectPointerArraySizeType
typedef OutputImageType::Pointer	OutputImagePointer
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 void	GenerateOutputInformation ()
virtual MembershipFunctionContainerType *	GetMembershipFunctionContainer ()
virtual const char *	GetNameOfClass () const
virtual void	SetMembershipFunctions (MembershipFunctionContainerType *densityFunctionContainer)
	typedef (Concept::MultiplyOperator< InputPixelType >) InputMultiplyOperatorCheck
	typedef (Concept::Convertible< double, TProbabilityPrecisionType >) DoubleConvertibleToProbabilityCheck
	typedef (Concept::HasNumericTraits< InputPixelType >) InputHasNumericTraitsCheck
	typedef (Concept::HasNumericTraits< TProbabilityPrecisionType >) ProbabilityHasNumericTraitsCheck
	typedef (Concept::AdditiveOperators< double, InputPixelType >) DoublePlusInputCheck
virtual void	SetNumberOfClasses (unsigned int _arg)
virtual unsigned int	GetNumberOfClasses () const
Public Member Functions inherited from itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::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 TInputImage *image)
Public Member Functions inherited from itk::ImageSource< VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::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
virtual ProcessObject::DataObjectPointer	MakeOutput (ProcessObject::DataObjectPointerArraySizeType idx)
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< TInputImage, VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >
static const unsigned int	InputImageDimension
static const unsigned int	OutputImageDimension
Static Public Attributes inherited from itk::ImageSource< VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >

Protected Member Functions
virtual void	GenerateData ()
virtual void	InitializeMembershipFunctions ()
	BayesianClassifierInitializationImageFilter ()
virtual	~BayesianClassifierInitializationImageFilter ()
void	PrintSelf (std::ostream &os, Indent indent) const
Protected Member Functions inherited from itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::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< VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::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
	BayesianClassifierInitializationImageFilter (const Self &)
void	operator= (const Self &)

Private Attributes
MembershipFunctionContainerType::Pointer	m_MembershipFunctionContainer
unsigned int	m_NumberOfClasses
bool	m_UserSuppliesMembershipFunctions

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

---

Detailed Description

template<class TInputImage, class TProbabilityPrecisionType = float>
class itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >

This filter is intended to be used as a helper class to initialize the BayesianClassifierImageFilter.

The goal of this filter is to generate a membership image that indicates the membership of each pixel to each class. These membership images are fed as input to the Bayesian classfier filter.

Parameters

Number of classes: This defines the number of classes, which will determine the number of membership images that will be generated. The user must specify this.

Membership functions: The user can optionally plugin in any membership function. The number of membership functions plugged in should be the same as the number of classes. If the user does not supply membership functions, the filter will generate membership functions for you. These functions are Gaussian density functions centered around 'n' pixel intensity values, . These 'n' values are obtained by running K-means on the image. In other words, the default behaviour of the filter is to generate Gaussian mixture model for the input image.

Inputs and Outputs

The filter takes a scalar Image as input and generates a VectorImage, each component of which represents memberships of each pixel to the class .

Template parameters

This filter is templated over the input image type and the data type used to represent the probabilities (defaults to float).

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:

BayesianClassifierImageFilter

VectorImage

Definition at line 76 of file itkBayesianClassifierInitializationImageFilter.h.

---

Member Typedef Documentation

template<class TInputImage , class TProbabilityPrecisionType = float>

typedef SmartPointer< const Self > itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::ConstPointer

Reimplemented from itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >.

Definition at line 95 of file itkBayesianClassifierInitializationImageFilter.h.

template<class TInputImage , class TProbabilityPrecisionType = float>

typedef ImageRegionConstIterator< InputImageType > itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::InputImageIteratorType

Input image iterators

Definition at line 101 of file itkBayesianClassifierInitializationImageFilter.h.

template<class TInputImage , class TProbabilityPrecisionType = float>

typedef TInputImage itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::InputImageType

Some convenient typedefs.

Reimplemented from itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >.

Definition at line 84 of file itkBayesianClassifierInitializationImageFilter.h.

template<class TInputImage , class TProbabilityPrecisionType = float>

typedef InputImageType::PixelType itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::InputPixelType

Pixel types.

Definition at line 107 of file itkBayesianClassifierInitializationImageFilter.h.

template<class TInputImage , class TProbabilityPrecisionType = float>

typedef Vector< InputPixelType, 1 > itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::MeasurementVectorType

Type of the Measurement

Definition at line 120 of file itkBayesianClassifierInitializationImageFilter.h.

template<class TInputImage , class TProbabilityPrecisionType = float>

typedef MembershipFunctionContainerType::Pointer itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::MembershipFunctionContainerPointer

Definition at line 130 of file itkBayesianClassifierInitializationImageFilter.h.

template<class TInputImage , class TProbabilityPrecisionType = float>

typedef VectorContainer< unsigned int, MembershipFunctionPointer > itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::MembershipFunctionContainerType

Membership function container

Definition at line 128 of file itkBayesianClassifierInitializationImageFilter.h.

template<class TInputImage , class TProbabilityPrecisionType = float>

typedef MembershipFunctionType::Pointer itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::MembershipFunctionPointer

Definition at line 124 of file itkBayesianClassifierInitializationImageFilter.h.

template<class TInputImage , class TProbabilityPrecisionType = float>

typedef Statistics::MembershipFunctionBase< MeasurementVectorType > itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::MembershipFunctionType

Type of the density functions

Definition at line 123 of file itkBayesianClassifierInitializationImageFilter.h.

template<class TInputImage , class TProbabilityPrecisionType = float>

typedef ImageRegionIterator< MembershipImageType > itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::MembershipImageIteratorType

Definition at line 117 of file itkBayesianClassifierInitializationImageFilter.h.

template<class TInputImage , class TProbabilityPrecisionType = float>

typedef MembershipImageType::Pointer itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::MembershipImagePointer

Definition at line 116 of file itkBayesianClassifierInitializationImageFilter.h.

template<class TInputImage , class TProbabilityPrecisionType = float>

typedef VectorImage< ProbabilityPrecisionType, itkGetStaticConstMacro(Dimension) > itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::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 114 of file itkBayesianClassifierInitializationImageFilter.h.

template<class TInputImage , class TProbabilityPrecisionType = float>

typedef MembershipImageType::PixelType itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::MembershipPixelType

Definition at line 115 of file itkBayesianClassifierInitializationImageFilter.h.

template<class TInputImage , class TProbabilityPrecisionType = float>

typedef VectorImage< ProbabilityPrecisionType, itkGetStaticConstMacro(Dimension) > itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::OutputImageType

Some convenient typedefs.

Reimplemented from itk::ImageSource< VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >.

Definition at line 92 of file itkBayesianClassifierInitializationImageFilter.h.

template<class TInputImage , class TProbabilityPrecisionType = float>

typedef OutputImageType::PixelType itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::OutputPixelType

Definition at line 108 of file itkBayesianClassifierInitializationImageFilter.h.

template<class TInputImage , class TProbabilityPrecisionType = float>

typedef SmartPointer< Self > itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::Pointer

Reimplemented from itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >.

Definition at line 94 of file itkBayesianClassifierInitializationImageFilter.h.

template<class TInputImage , class TProbabilityPrecisionType = float>

typedef TProbabilityPrecisionType itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::ProbabilityPrecisionType

Definition at line 85 of file itkBayesianClassifierInitializationImageFilter.h.

template<class TInputImage , class TProbabilityPrecisionType = float>

typedef BayesianClassifierInitializationImageFilter itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::Self

Standard class typedefs.

Reimplemented from itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >.

Definition at line 83 of file itkBayesianClassifierInitializationImageFilter.h.

template<class TInputImage , class TProbabilityPrecisionType = float>

typedef ImageToImageFilter< InputImageType, OutputImageType > itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::Superclass

Reimplemented from itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >.

Definition at line 93 of file itkBayesianClassifierInitializationImageFilter.h.

---

Constructor & Destructor Documentation

template<class TInputImage , class TProbabilityPrecisionType = float>

itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::BayesianClassifierInitializationImageFilter ( )

protected

End concept checking

template<class TInputImage , class TProbabilityPrecisionType = float>

virtual itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::~BayesianClassifierInitializationImageFilter ( )

inlineprotectedvirtual

End concept checking

Definition at line 166 of file itkBayesianClassifierInitializationImageFilter.h.

template<class TInputImage , class TProbabilityPrecisionType = float>

itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::BayesianClassifierInitializationImageFilter ( const Self &  )

private

---

Member Function Documentation

template<class TInputImage , class TProbabilityPrecisionType = float>

virtual::itk::LightObject::Pointer itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::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 TInputImage , class TProbabilityPrecisionType = float>

virtual void itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::GenerateData ( )

protectedvirtual

Here is where the prior and membership probability vector images are created.

Reimplemented from itk::ImageSource< VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >.

template<class TInputImage , class TProbabilityPrecisionType = float>

virtual void itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::GenerateOutputInformation ( )

virtual

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 TInputImage , class TProbabilityPrecisionType = float>

virtual MembershipFunctionContainerType* itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::GetMembershipFunctionContainer ( )

virtual

template<class TInputImage , class TProbabilityPrecisionType = float>

virtual const char* itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::GetNameOfClass ( ) const

virtual

Run-time type information (and related methods).

Reimplemented from itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >.

template<class TInputImage , class TProbabilityPrecisionType = float>

virtual unsigned int itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::GetNumberOfClasses ( ) const

virtual

Set/Get methods for the number of classes. The user must supply this.

template<class TInputImage , class TProbabilityPrecisionType = float>

virtual void itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::InitializeMembershipFunctions ( )

protectedvirtual

Initialize the membership functions. This will be called only if the membership function hasn't already been set. This method initializes membership functions using Gaussian density functions centered around the means computed using Kmeans.

template<class TInputImage , class TProbabilityPrecisionType = float>

static Pointer itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::New ( )

static

Method for creation through the object factory.

Reimplemented from itk::Object.

template<class TInputImage , class TProbabilityPrecisionType = float>

void itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::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< TInputImage, VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >.

template<class TInputImage , class TProbabilityPrecisionType = float>

void itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::PrintSelf ( std::ostream &  os, Indent  indent  ) const

protectedvirtual

End concept checking

Reimplemented from itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >.

template<class TInputImage , class TProbabilityPrecisionType = float>

virtual void itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::SetMembershipFunctions ( MembershipFunctionContainerType *  densityFunctionContainer )

virtual

Method to set/get the density functions. Here you can set a vector container of density functions. If no density functions are specified, the filter will create ones for you. These default density functions are Gaussian density functions centered around the K-means of the input image.

template<class TInputImage , class TProbabilityPrecisionType = float>

virtual void itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::SetNumberOfClasses ( unsigned int  _arg )

virtual

Set/Get methods for the number of classes. The user must supply this.

template<class TInputImage , class TProbabilityPrecisionType = float>

itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::typedef

(

Concept::MultiplyOperator< InputPixelType >

)

Begin concept checking This class requires InputMultiplyOperatorCheck in the form of ( Concept::MultiplyOperator< InputPixelType > )

template<class TInputImage , class TProbabilityPrecisionType = float>

itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::typedef

(

Concept::Convertible< double, TProbabilityPrecisionType >

)

This class requires DoubleConvertibleToProbabilityCheck in the form of ( Concept::Convertible< double, TProbabilityPrecisionType > )

template<class TInputImage , class TProbabilityPrecisionType = float>

itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::typedef

(

Concept::HasNumericTraits< InputPixelType >

)

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

template<class TInputImage , class TProbabilityPrecisionType = float>

itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::typedef

(

Concept::HasNumericTraits< TProbabilityPrecisionType >

)

This class requires ProbabilityHasNumericTraitsCheck in the form of ( Concept::HasNumericTraits< TProbabilityPrecisionType > )

template<class TInputImage , class TProbabilityPrecisionType = float>

itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::typedef

(

Concept::AdditiveOperators< double, InputPixelType >

)

This class requires DoublePlusInputCheck in the form of ( Concept::AdditiveOperators< double, InputPixelType > )

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Member Data Documentation

template<class TInputImage , class TProbabilityPrecisionType = float>

const unsigned int itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::Dimension = ::itk::GetImageDimension< InputImageType >::ImageDimension

static

Dimension of the input image

Definition at line 89 of file itkBayesianClassifierInitializationImageFilter.h.

template<class TInputImage , class TProbabilityPrecisionType = float>

MembershipFunctionContainerType::Pointer itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::m_MembershipFunctionContainer

private

Definition at line 190 of file itkBayesianClassifierInitializationImageFilter.h.

template<class TInputImage , class TProbabilityPrecisionType = float>

unsigned int itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::m_NumberOfClasses

private

Definition at line 188 of file itkBayesianClassifierInitializationImageFilter.h.

template<class TInputImage , class TProbabilityPrecisionType = float>

bool itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::m_UserSuppliesMembershipFunctions

private

Definition at line 187 of file itkBayesianClassifierInitializationImageFilter.h.

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

• itkBayesianClassifierInitializationImageFilter.h