ITK  4.4.0
Insight Segmentation and Registration Toolkit
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itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType > Class Template Reference

#include <itkBayesianClassifierInitializationImageFilter.h>

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

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, $ I_k $. 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 $ c $ of which represents memberships of each pixel to the class $ c $.
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.

Public Types

typedef SmartPointer< const SelfConstPointer
 
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< SelfPointer
 
typedef TProbabilityPrecisionType ProbabilityPrecisionType
 
typedef
BayesianClassifierInitializationImageFilter 
Self
 
typedef ImageToImageFilter
< InputImageType,
OutputImageType
Superclass
 
- Public Types inherited from itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType, TInputImage::ImageDimension > >
typedef SmartPointer< const SelfConstPointer
 
typedef
InputImageType::ConstPointer 
InputImageConstPointer
 
typedef InputImageType::PixelType InputImagePixelType
 
typedef InputImageType::Pointer InputImagePointer
 
typedef InputImageType::RegionType InputImageRegionType
 
typedef TInputImage InputImageType
 
typedef
Superclass::OutputImagePixelType 
OutputImagePixelType
 
typedef
Superclass::OutputImageRegionType 
OutputImageRegionType
 
typedef SmartPointer< SelfPointer
 
typedef ImageToImageFilter Self
 
typedef ImageSource
< VectorImage
< TProbabilityPrecisionType,
TInputImage::ImageDimension > > 
Superclass
 
- Public Types inherited from itk::ImageSource< VectorImage< TProbabilityPrecisionType, TInputImage::ImageDimension > >
typedef SmartPointer< const SelfConstPointer
 
typedef
Superclass::DataObjectIdentifierType 
DataObjectIdentifierType
 
typedef DataObject::Pointer DataObjectPointer
 
typedef
Superclass::DataObjectPointerArraySizeType 
DataObjectPointerArraySizeType
 
typedef OutputImageType::PixelType OutputImagePixelType
 
typedef OutputImageType::Pointer OutputImagePointer
 
typedef OutputImageType::RegionType OutputImageRegionType
 
typedef VectorImage
< TProbabilityPrecisionType,
TInputImage::ImageDimension > 
OutputImageType
 
typedef SmartPointer< SelfPointer
 
typedef ImageSource Self
 
typedef ProcessObject Superclass
 
- Public Types inherited from itk::ProcessObject
typedef SmartPointer< const SelfConstPointer
 
typedef
DataObject::DataObjectIdentifierType 
DataObjectIdentifierType
 
typedef DataObject::Pointer DataObjectPointer
 
typedef std::vector
< DataObjectPointer
DataObjectPointerArray
 
typedef
DataObjectPointerArray::size_type 
DataObjectPointerArraySizeType
 
typedef std::vector
< DataObjectIdentifierType
NameArray
 
typedef SmartPointer< SelfPointer
 
typedef ProcessObject Self
 
typedef Object Superclass
 
- Public Types inherited from itk::Object
typedef SmartPointer< const SelfConstPointer
 
typedef SmartPointer< SelfPointer
 
typedef Object Self
 
typedef LightObject Superclass
 
- Public Types inherited from itk::LightObject
typedef SmartPointer< const SelfConstPointer
 
typedef SmartPointer< SelfPointer
 
typedef LightObject Self
 

Public Member Functions

virtual ::itk::LightObject::Pointer CreateAnother (void) const
 
virtual void GenerateOutputInformation ()
 
virtual const char * GetNameOfClass () const
 
 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 SetMembershipFunctions (MembershipFunctionContainerType *densityFunctionContainer)
 
virtual
MembershipFunctionContainerType
GetModifiableMembershipFunctionContainer ()
 
virtual const
MembershipFunctionContainerType
GetMembershipFunctionContainer () const
 
virtual void SetNumberOfClasses (unsigned int _arg)
 
virtual unsigned int GetNumberOfClasses () const
 
- Public Member Functions inherited from itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType, TInputImage::ImageDimension > >
const InputImageTypeGetInput (void) const
 
const InputImageTypeGetInput (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)
 
virtual void SetCoordinateTolerance (double _arg)
 
virtual double GetCoordinateTolerance () const
 
virtual void SetDirectionTolerance (double _arg)
 
virtual double GetDirectionTolerance () const
 
- Public Member Functions inherited from itk::ImageSource< VectorImage< TProbabilityPrecisionType, TInputImage::ImageDimension > >
OutputImageTypeGetOutput (unsigned int idx)
 
virtual void GraftNthOutput (unsigned int idx, DataObject *output)
 
virtual void GraftOutput (DataObject *output)
 
virtual void GraftOutput (const DataObjectIdentifierType &key, DataObject *output)
 
OutputImageTypeGetOutput (void)
 
const OutputImageTypeGetOutput (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 ThreadIdTypeGetNumberOfThreads ()
 
- 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
 
CommandGetCommand (unsigned long tag)
 
bool GetDebug () const
 
MetaDataDictionaryGetMetaDataDictionary (void)
 
const MetaDataDictionaryGetMetaDataDictionary (void) const
 
virtual ModifiedTimeType GetMTime () const
 
virtual const TimeStampGetTimeStamp () 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 = InputImageType ::ImageDimension
 
- Static Public Attributes inherited from itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType, TInputImage::ImageDimension > >
static const unsigned int InputImageDimension
 
static const unsigned int OutputImageDimension
 
- Static Public Attributes inherited from itk::ImageSource< VectorImage< TProbabilityPrecisionType, TInputImage::ImageDimension > >
static const unsigned int OutputImageDimension
 

Protected Member Functions

 BayesianClassifierInitializationImageFilter ()
 
virtual void GenerateData ()
 
virtual void InitializeMembershipFunctions ()
 
void PrintSelf (std::ostream &os, Indent indent) const
 
virtual ~BayesianClassifierInitializationImageFilter ()
 
- Protected Member Functions inherited from itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType, 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, TInputImage::ImageDimension > >
virtual void AfterThreadedGenerateData ()
 
virtual void AllocateOutputs ()
 
virtual void BeforeThreadedGenerateData ()
 
virtual const
ImageRegionSplitterBase
GetImageRegionSplitter (void) const
 
 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)
 
virtual void CacheInputReleaseDataFlags ()
 
virtual void GenerateOutputRequestedRegion (DataObject *output)
 
virtual const
DataObjectPointerArraySizeType
GetNumberOfRequiredOutputs ()
 
bool IsIndexedInputName (const DataObjectIdentifierType &) const
 
bool IsIndexedOutputName (const DataObjectIdentifierType &) const
 
 itkLegacyMacro (virtual void RemoveOutput(DataObject *output))
 
 itkLegacyMacro (void SetNumberOfOutputs(DataObjectPointerArraySizeType num))
 
 itkLegacyMacro (virtual void RemoveInput(DataObject *input))
 
 itkLegacyMacro (void SetNumberOfInputs(DataObjectPointerArraySizeType num))
 
DataObjectPointerArraySizeType MakeIndexFromInputName (const DataObjectIdentifierType &name) const
 
DataObjectPointerArraySizeType MakeIndexFromOutputName (const DataObjectIdentifierType &name) const
 
DataObjectIdentifierType MakeNameFromInputIndex (DataObjectPointerArraySizeType idx) const
 
DataObjectIdentifierType MakeNameFromOutputIndex (DataObjectPointerArraySizeType idx) 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)
 
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 SetNumberOfRequiredOutputs (DataObjectPointerArraySizeType _arg)
 
virtual void SetOutput (const DataObjectIdentifierType &key, DataObject *output)
 
virtual void SetPrimaryInput (DataObject *input)
 
virtual void SetPrimaryOutput (DataObject *output)
 
virtual void VerifyPreconditions ()
 
 ~ProcessObject ()
 
DataObjectGetInput (const DataObjectIdentifierType &key)
 
const DataObjectGetInput (const DataObjectIdentifierType &key) const
 
DataObjectGetInput (DataObjectPointerArraySizeType idx)
 
const DataObjectGetInput (DataObjectPointerArraySizeType idx) const
 
DataObjectGetPrimaryInput ()
 
const DataObjectGetPrimaryInput () const
 
virtual void SetPrimaryInputName (const DataObjectIdentifierType &key)
 
virtual const char * GetPrimaryInputName (void) const
 
virtual void SetNumberOfRequiredInputs (DataObjectPointerArraySizeType)
 
virtual const
DataObjectPointerArraySizeType
GetNumberOfRequiredInputs ()
 
bool AddRequiredInputName (const DataObjectIdentifierType &)
 
bool AddRequiredInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)
 
bool RemoveRequiredInputName (const DataObjectIdentifierType &)
 
bool IsRequiredInputName (const DataObjectIdentifierType &) const
 
void SetRequiredInputNames (const NameArray &)
 
DataObjectGetOutput (const DataObjectIdentifierType &key)
 
const DataObjectGetOutput (const DataObjectIdentifierType &key) const
 
virtual void SetPrimaryOutputName (const DataObjectIdentifierType &key)
 
virtual const char * GetPrimaryOutputName (void) const
 
DataObjectGetOutput (DataObjectPointerArraySizeType idx)
 
const DataObjectGetOutput (DataObjectPointerArraySizeType idx) const
 
DataObjectGetPrimaryOutput ()
 
const DataObjectGetPrimaryOutput () 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, TInputImage::ImageDimension > >
typedef
ImageToImageFilterDetail::ImageRegionCopier
< itkGetStaticConstMacro(OutputImageDimension),
itkGetStaticConstMacro(InputImageDimension) > 
InputToOutputRegionCopierType
 
typedef
ImageToImageFilterDetail::ImageRegionCopier
< itkGetStaticConstMacro(InputImageDimension),
itkGetStaticConstMacro(OutputImageDimension) > 
OutputToInputRegionCopierType
 
- Static Protected Member Functions inherited from itk::ImageSource< VectorImage< TProbabilityPrecisionType, TInputImage::ImageDimension > >
static const
ImageRegionSplitterBase
GetGlobalDefaultSplitter ()
 
static ITK_THREAD_RETURN_TYPE ThreaderCallback (void *arg)
 
- Protected Attributes inherited from itk::ProcessObject
TimeStamp m_OutputInformationMTime
 
bool m_Updating
 

Member Typedef Documentation

template<class TInputImage , class TProbabilityPrecisionType = float>
typedef SmartPointer< const Self > itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::ConstPointer
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
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
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
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
template<class TInputImage , class TProbabilityPrecisionType = float>
typedef MembershipImageType::Pointer itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::MembershipImagePointer
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
template<class TInputImage , class TProbabilityPrecisionType = float>
typedef VectorImage< ProbabilityPrecisionType, itkGetStaticConstMacro(Dimension) > itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::OutputImageType
template<class TInputImage , class TProbabilityPrecisionType = float>
typedef OutputImageType::PixelType itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::OutputPixelType
template<class TInputImage , class TProbabilityPrecisionType = float>
typedef SmartPointer< Self > itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::Pointer
template<class TInputImage , class TProbabilityPrecisionType = float>
typedef TProbabilityPrecisionType itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::ProbabilityPrecisionType
template<class TInputImage , class TProbabilityPrecisionType = float>
typedef BayesianClassifierInitializationImageFilter itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::Self

Standard class typedefs.

Definition at line 83 of file itkBayesianClassifierInitializationImageFilter.h.

template<class TInputImage , class TProbabilityPrecisionType = float>
typedef ImageToImageFilter< InputImageType, OutputImageType > itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::Superclass

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
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, 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 const MembershipFunctionContainerType* itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::GetMembershipFunctionContainer ( ) const
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 MembershipFunctionContainerType* itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::GetModifiableMembershipFunctionContainer ( )
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 const char* itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::GetNameOfClass ( ) const
virtual
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.

template<class TInputImage , class TProbabilityPrecisionType = float>
void itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::operator= ( const Self )
private
template<class TInputImage , class TProbabilityPrecisionType = float>
void itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::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< TInputImage, VectorImage< TProbabilityPrecisionType, 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 > )

Member Data Documentation

template<class TInputImage , class TProbabilityPrecisionType = float>
const unsigned int itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::Dimension = 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
template<class TInputImage , class TProbabilityPrecisionType = float>
unsigned int itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::m_NumberOfClasses
private
template<class TInputImage , class TProbabilityPrecisionType = float>
bool itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::m_UserSuppliesMembershipFunctions
private

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