itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction > Class Template Reference
[Pixel Classification Filters]

#include <itkImageModelEstimatorBase.h>

Inheritance diagram for itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >:

[legend]Collaboration diagram for itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >:

[legend]List of all members.

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Detailed Description

template<class TInputImage, class TMembershipFunction>
class itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >

Base class for model estimation from images used for classification.

itkImageModelEstimatorBase is the base class for the ImageModelEstimator objects. It provides the basic function definitions that are inherent to a ImageModelEstimator objects.

This is the SuperClass for the ImageModelEstimator framework. This is an abstract class defining an interface for all such objects available through the ImageModelEstimator framework in the ITK toolkit.

The basic functionality of the ImageModelEstimator framework base class is to generate the models used in classification applications. It requires input images and a training image to be provided by the user. This object supports data handling of multiband images. The object accepts the input image in vector format only, where each pixel is a vector and each element of the vector corresponds to an entry from 1 particular band of a multiband dataset. A single band image is treated as a vector image with a single element for every vector. The classified image is treated as a single band scalar image.

EstimateModels() is a pure virtual function making this an abstract class. The template parameter is the type of a membership function the ImageModelEstimator populates.

A membership function represents a specific knowledge about a class. In other words, it should tell us how "likely" is that a measurement vector (pattern) belong to the class.

As the method name indicates, you can have more than one membership function. One for each classes. The order you put the membership calculator becomes the class label for the class that is represented by the membership calculator.

Definition at line 65 of file itkImageModelEstimatorBase.h.

Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef TInputImage::Pointer	InputImagePointer
typedef TInputImage	InputImageType
typedef TMembershipFunction::Pointer	MembershipFunctionPointer
typedef std::vector< MembershipFunctionPointer >	MembershipFunctionPointerVector
typedef SmartPointer< Self >	Pointer
typedef ImageModelEstimatorBase	Self
typedef LightProcessObject	Superclass
Public Member Functions
virtual void	AbortGenerateDataOff ()
virtual void	AbortGenerateDataOn ()
unsigned int	AddMembershipFunction (MembershipFunctionPointer function)
Get the execution progress of a process object The progress is *a floating number	between (0, 1)
Set the execution progress of a process object The progress is *a floating number	between (0, 1)
virtual LightObject::Pointer	CreateAnother () const
virtual void	DebugOff () const
virtual void	DebugOn () const
virtual void	Delete ()
void	DeleteAllMembershipFunctions ()
virtual const bool &	GetAbortGenerateData ()
Command *	GetCommand (unsigned long tag)
bool	GetDebug () const
virtual InputImageType *	GetInputImage ()
const MembershipFunctionPointerVector	GetMembershipFunctions () const
const MetaDataDictionary &	GetMetaDataDictionary (void) const
MetaDataDictionary &	GetMetaDataDictionary (void)
virtual unsigned long	GetMTime () const
virtual const char *	GetNameOfClass () const
unsigned int	GetNumberOfMembershipFunctions ()
virtual const unsigned int &	GetNumberOfModels ()
meaning *the filter has completed execution *virtual const float &	GetProgress ()
virtual int	GetReferenceCount () const
bool	HasObserver (const EventObject &event) const
void	InvokeEvent (const EventObject &) const
void	InvokeEvent (const EventObject &)
virtual void	Modified () const
void	Print (std::ostream &os, Indent indent=0) const
virtual void	Register () const
void	RemoveAllObservers ()
void	RemoveObserver (unsigned long tag)
virtual void	SetAbortGenerateData (bool _arg)
void	SetDebug (bool debugFlag) const
virtual void	SetInputImage (InputImageType *_arg)
void	SetMembershipFunctions (MembershipFunctionPointerVector membershipFunctions)
void	SetMetaDataDictionary (const MetaDataDictionary &rhs)
virtual void	SetNumberOfModels (unsigned int _arg)
meaning *the filter has completed execution *virtual void	SetProgress (float _arg)
virtual void	SetReferenceCount (int)
virtual void	UnRegister () const
void	Update ()
virtual void	UpdateOutputData ()
void	UpdateProgress (float amount)
Static Public Member Functions
static void	BreakOnError ()
static bool	GetGlobalWarningDisplay ()
static void	GlobalWarningDisplayOff ()
static void	GlobalWarningDisplayOn ()
static Pointer	New ()
This is a global flag that controls whether any warning *or error messages are displayed *static void	SetGlobalWarningDisplay (bool flag)
Public Attributes
Allow people to add remove invoke observers(callbacks) to any ITK *object.This is an implementation of the subject/observer design *pattern.An observer is added by specifying an event to respond to *and an itk unsigned lon	AddObserver )(const EventObject &event, Command *) const
This is a global flag that controls whether any	debug
Get the execution progress of a process object The progress is *a floating number meaning no	progress
Set the execution progress of a process object The progress is *a floating number meaning no	progress
Protected Member Functions
virtual void	GenerateData ()
	ImageModelEstimatorBase ()
bool	PrintObservers (std::ostream &os, Indent indent) const
void	PrintSelf (std::ostream &os, Indent indent) const
virtual void	PrintTrailer (std::ostream &os, Indent indent) const
	~ImageModelEstimatorBase ()
Protected Attributes
int	m_ReferenceCount
SimpleFastMutexLock	m_ReferenceCountLock
Methods invoked by virtual 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.*/virtual void PrintSelf(std voi	PrintHeader )(std::ostream &os, Indent indent) const

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Member Typedef Documentation

template<class TInputImage, class TMembershipFunction> typedef SmartPointer<const Self> itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::ConstPointer

Reimplemented from itk::LightProcessObject. Reimplemented in itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >, and itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >. Definition at line 72 of file itkImageModelEstimatorBase.h.

template<class TInputImage, class TMembershipFunction> typedef TInputImage::Pointer itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::InputImagePointer

Reimplemented in itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >, and itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >. Definition at line 91 of file itkImageModelEstimatorBase.h.

template<class TInputImage, class TMembershipFunction> typedef TInputImage itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::InputImageType

Type definitions for the training image. Reimplemented in itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >. Definition at line 90 of file itkImageModelEstimatorBase.h.

template<class TInputImage, class TMembershipFunction> typedef TMembershipFunction::Pointer itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::MembershipFunctionPointer

Type definitions for the membership function . Reimplemented in itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >, and itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >. Definition at line 81 of file itkImageModelEstimatorBase.h.

template<class TInputImage, class TMembershipFunction> typedef std::vector< MembershipFunctionPointer > itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::MembershipFunctionPointerVector

Definition at line 87 of file itkImageModelEstimatorBase.h.

template<class TInputImage, class TMembershipFunction> typedef SmartPointer<Self> itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::Pointer

Reimplemented from itk::LightProcessObject. Reimplemented in itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >, and itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >. Definition at line 71 of file itkImageModelEstimatorBase.h.

template<class TInputImage, class TMembershipFunction> typedef ImageModelEstimatorBase itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::Self

Standard class typedefs. Reimplemented from itk::LightProcessObject. Reimplemented in itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >, and itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >. Definition at line 69 of file itkImageModelEstimatorBase.h.

template<class TInputImage, class TMembershipFunction> typedef LightProcessObject itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::Superclass

Reimplemented from itk::LightProcessObject. Reimplemented in itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >, and itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >. Definition at line 70 of file itkImageModelEstimatorBase.h.

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Constructor & Destructor Documentation

template<class TInputImage, class TMembershipFunction> itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::ImageModelEstimatorBase (   )  [protected]

template<class TInputImage, class TMembershipFunction> itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::~ImageModelEstimatorBase (   )  [protected]

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Member Function Documentation

virtual void itk::LightProcessObject::AbortGenerateDataOff (   )  [virtual, inherited]

virtual void itk::LightProcessObject::AbortGenerateDataOn (   )  [virtual, inherited]

Turn on and off the AbortGenerateData flag.

template<class TInputImage, class TMembershipFunction> unsigned int itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::AddMembershipFunction (  MembershipFunctionPointer  function  )

Stores a MembershipCalculator of a class in its internal vector

Get the execution progress of a process object The progress is* a floating number itk::LightProcessObject::between (  0  , 1  )  [inherited]

Set the execution progress of a process object The progress is* a floating number itk::LightProcessObject::between (  0  , 1  )  [inherited]

static void itk::LightObject::BreakOnError (   )  [static, inherited]

This method is called when itkExceptionMacro executes. It allows the debugger to break on error.

virtual LightObject::Pointer itk::Object::CreateAnother (   )  const [virtual, inherited]

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::LightObject.

virtual void itk::Object::DebugOff (   )  const [virtual, inherited]

Turn debugging output off.

virtual void itk::Object::DebugOn (   )  const [virtual, inherited]

Turn debugging output on.

virtual void itk::LightObject::Delete (   )  [virtual, inherited]

Delete an itk object. This method should always be used to delete an object when the new operator was used to create it. Using the C delete method will not work with reference counting.

template<class TInputImage, class TMembershipFunction> void itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::DeleteAllMembershipFunctions (   )  [inline]

Method to reset the membership fucntion mean Definition at line 122 of file itkImageModelEstimatorBase.h.

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

This method causes the filter to generate its output. Reimplemented from itk::LightProcessObject. Reimplemented in itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >, and itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >.

virtual const bool& itk::LightProcessObject::GetAbortGenerateData (   )  [virtual, inherited]

Get the AbortGenerateData flag for the process object. Process objects may handle premature termination of execution in different ways.

Command* itk::Object::GetCommand (  unsigned long  tag  )  [inherited]

Get the command associated with the given tag. NOTE: This returns a pointer to a Command, but it is safe to asign this to a Command::Pointer. Since Command inherits from LightObject, at this point in the code, only a pointer or a reference to the Command can be used.

bool itk::Object::GetDebug (   )  const [inherited]

Get the value of the debug flag.

static bool itk::Object::GetGlobalWarningDisplay (   )  [static, inherited]

template<class TInputImage, class TMembershipFunction> virtual InputImageType* itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::GetInputImage (   )  [virtual]

Get the input image.

template<class TInputImage, class TMembershipFunction> const MembershipFunctionPointerVector itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::GetMembershipFunctions (   )  const [inline]

Method to get mean Definition at line 110 of file itkImageModelEstimatorBase.h.

const MetaDataDictionary& itk::Object::GetMetaDataDictionary (  void   )  const [inherited]

Returns: A constant reference to this objects MetaDataDictionary.

MetaDataDictionary& itk::Object::GetMetaDataDictionary (  void   )  [inherited]

Returns: A reference to this objects MetaDataDictionary. Warning: This reference may be changed.

virtual unsigned long itk::Object::GetMTime (   )  const [virtual, inherited]

Return this objects modified time. Reimplemented in itk::ImageRegistrationMethod< TFixedImage, TMovingImage >, itk::DeformationFieldSource< TOutputImage >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer >, itk::SceneSpatialObject< SpaceDimension >, and itk::SceneSpatialObject< NDimensions >.

template<class TInputImage, class TMembershipFunction> virtual const char* itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::GetNameOfClass (   )  const [virtual]

Run-time type information (and related methods). Reimplemented from itk::LightProcessObject. Reimplemented in itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >, and itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >.

template<class TInputImage, class TMembershipFunction> unsigned int itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::GetNumberOfMembershipFunctions (   )  [inline]

Method to number of membership functions Definition at line 116 of file itkImageModelEstimatorBase.h.

template<class TInputImage, class TMembershipFunction> virtual const unsigned int& itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::GetNumberOfModels (   )  [virtual]

Get the number of classes.

meaning* the filter has completed execution* virtual const float& itk::LightProcessObject::GetProgress (   )  [virtual, inherited]

virtual int itk::LightObject::GetReferenceCount (   )  const [inline, virtual, inherited]

Gets the reference count on this object. Definition at line 98 of file itkLightObject.h.

static void itk::Object::GlobalWarningDisplayOff (   )  [inline, static, inherited]

Definition at line 100 of file itkObject.h. References itk::Object::SetGlobalWarningDisplay().

static void itk::Object::GlobalWarningDisplayOn (   )  [inline, static, inherited]

Definition at line 98 of file itkObject.h. References itk::Object::SetGlobalWarningDisplay().

bool itk::Object::HasObserver (  const EventObject &  event  )  const [inherited]

Return true if an observer is registered for this event.

void itk::Object::InvokeEvent (  const EventObject &   )  const [inherited]

Call Execute on all the Commands observing this event id. The actions triggered by this call doesn't modify this object.

void itk::Object::InvokeEvent (  const EventObject &   )  [inherited]

Call Execute on all the Commands observing this event id.

virtual void itk::Object::Modified (   )  const [virtual, inherited]

Update the modification time for this object. Many filters rely on the modification time to determine if they need to recompute their data. Referenced by itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetCenter(), itk::HistogramAlgorithmBase< TInputHistogram >::SetInputHistogram(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetMatrix(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetOffset(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetRealThresholds(), itk::CollidingFrontsImageFilter< TInputImage, TOutputImage >::SetSeedPoints1(), itk::CollidingFrontsImageFilter< TInputImage, TOutputImage >::SetSeedPoints2(), itk::NonUniformBSpline< TDimension >::SetSplineOrder(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetThresholds(), itk::Statistics::GoodnessOfFitFunctionBase< typename ComponentType::HistogramType >::SetTotalObservedScale(), and itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetTranslation().

static Pointer itk::LightProcessObject::New (   )  [static, inherited]

Method for creation through the object factory. Reimplemented from itk::Object. Reimplemented in itk::ImageClassifierBase< TInputImage, TClassifiedImage >, itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >, itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >, itk::LevelSetNeighborhoodExtractor< TLevelSet >, itk::LevelSetVelocityNeighborhoodExtractor< TLevelSet, TAuxValue, VAuxDimension >, itk::AnalyzeImageIO, itk::BioRadImageIO, itk::BMPImageIO, itk::Brains2MaskImageIO, itk::DicomImageIO, itk::DICOMImageIO2, itk::GDCMImageIO, itk::GE4ImageIO, itk::GE5ImageIO, itk::GEAdwImageIO, itk::GiplImageIO, itk::IPLCommonImageIO, itk::JPEGImageIO, itk::LSMImageIO, itk::MetaImageIO, itk::NiftiImageIO, itk::NrrdImageIO, itk::PNGImageIO, itk::RawImageIO< TPixel, VImageDimension >, itk::SiemensVisionImageIO, itk::StimulateImageIO, itk::TIFFImageIO, itk::TransformFileReader, itk::TransformFileWriter, itk::VTKImageIO, itk::Statistics::BackPropagationLayer< TVector, TOutput >, itk::Statistics::BatchSupervisedTrainingFunction< TSample, TOutput, ScalarType >, itk::Statistics::CompletelyConnectedWeightSet< TVector, TOutput >, itk::Statistics::ErrorBackPropagationLearningFunctionBase< LayerType, TOutput >, itk::Statistics::ErrorBackPropagationLearningWithMomentum< LayerType, TOutput >, itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TOutput, ScalarType >, itk::Statistics::QuickPropLearningRule< LayerType, TOutput >, itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TOutput >, itk::Statistics::RBFLayer< TVector, TOutput >, itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >, itk::Statistics::SampleClassifier< TSample >, and itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >.

void itk::LightObject::Print (  std::ostream &  os, Indent  indent = 0 )  const [inherited]

Cause the object to print itself out.

bool itk::Object::PrintObservers (  std::ostream &  os, Indent  indent )  const [protected, inherited]

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

Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes. Reimplemented from itk::LightProcessObject. Reimplemented in itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >, and itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >.

virtual void itk::LightObject::PrintTrailer (  std::ostream &  os, Indent  indent )  const [protected, virtual, inherited]

virtual void itk::Object::Register (   )  const [virtual, inherited]

Increase the reference count (mark as used by another object). Reimplemented from itk::LightObject.

void itk::Object::RemoveAllObservers (   )  [inherited]

Remove all observers .

void itk::Object::RemoveObserver (  unsigned long  tag  )  [inherited]

Remove the observer with this tag value.

virtual void itk::LightProcessObject::SetAbortGenerateData (  bool  _arg  )  [virtual, inherited]

Set the AbortGenerateData flag for the process object. Process objects may handle premature termination of execution in different ways.

void itk::Object::SetDebug (  bool  debugFlag  )  const [inherited]

Set the value of the debug flag. A non-zero value turns debugging on.

This is a global flag that controls whether any warning* or error messages are displayed* static void itk::Object::SetGlobalWarningDisplay (  bool  flag  )  [static, inherited]

Referenced by itk::Object::GlobalWarningDisplayOff(), and itk::Object::GlobalWarningDisplayOn().

template<class TInputImage, class TMembershipFunction> virtual void itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::SetInputImage (  InputImageType *  _arg  )  [virtual]

Set the input image.

template<class TInputImage, class TMembershipFunction> void itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::SetMembershipFunctions (  MembershipFunctionPointerVector  membershipFunctions  )  [inline]

Set the classified image. Definition at line 103 of file itkImageModelEstimatorBase.h.

void itk::Object::SetMetaDataDictionary (  const MetaDataDictionary &  rhs  )  [inherited]

Returns: Set the MetaDataDictionary

template<class TInputImage, class TMembershipFunction> virtual void itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::SetNumberOfModels (  unsigned int  _arg  )  [virtual]

Set the number of classes.

meaning* the filter has completed execution* virtual void itk::LightProcessObject::SetProgress (  float  _arg  )  [virtual, inherited]

virtual void itk::Object::SetReferenceCount (  int   )  [virtual, inherited]

Sets the reference count (use with care) Reimplemented from itk::LightObject.

virtual void itk::Object::UnRegister (   )  const [virtual, inherited]

Decrease the reference count (release by another object). Reimplemented from itk::LightObject.

template<class TInputImage, class TMembershipFunction> void itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::Update (   )

Define a virtual function to perform model generation from the input data

virtual void itk::LightProcessObject::UpdateOutputData (   )  [virtual, inherited]

Actually generate new output.

void itk::LightProcessObject::UpdateProgress (  float  amount  )  [inherited]

Update the progress of the process object. If a ProgressMethod exists, executes it. Then set the Progress ivar to amount. The parameter amount should range between (0,1).

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Member Data Documentation

Allow people to add remove invoke observers (callbacks) to any ITK * object. This is an implementation of the subject/observer design * pattern. An observer is added by specifying an event to respond to * and an itk unsigned lon itk::Object::AddObserver)(const EventObject &event, Command *) const [inherited]

This is a global flag that controls whether any itk::Object::debug [inherited]

Definition at line 94 of file itkObject.h.

int itk::LightObject::m_ReferenceCount [mutable, protected, inherited]

Number of uses of this object by other objects. Definition at line 119 of file itkLightObject.h.

SimpleFastMutexLock itk::LightObject::m_ReferenceCountLock [mutable, protected, inherited]

Mutex lock to protect modification to the reference count Definition at line 122 of file itkLightObject.h.

Methods invoked by virtual 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. */ virtual void PrintSelf(std voi itk::LightObject::PrintHeader)(std::ostream &os, Indent indent) const [protected, inherited]

Get the execution progress of a process object The progress is* a floating number meaning no itk::LightProcessObject::progress [inherited]

Definition at line 104 of file itkLightProcessObject.h.

Set the execution progress of a process object The progress is* a floating number meaning no itk::LightProcessObject::progress [inherited]

Definition at line 98 of file itkLightProcessObject.h.

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

• itkImageModelEstimatorBase.h

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