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

#include <itkImageGaussianModelEstimator.h>

Inheritance diagram for itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >:

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

[legend]List of all members.

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Detailed Description

template<class TInputImage, class TMembershipFunction, class TTrainingImage>
class itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >

Base class for ImageGaussianModelEstimator object.

itkImageGaussianModelEstimator generated the gaussian model for given tissue types (or class types) in an input training set. training data set for segmentation. The training data set is typically provided as a set of labelled/classified data set by the user. A gaussian model is generated for each label present in the training data set. from the training data set.

The user should ensure that both the input and training images are of the same size. The input data consists of the raw data and the training data has class labels associated with each pixel. However, only a subset of the data need to be labelled. Unlabelled data could be represented by a non zero, non positive number. The training data are analysed for identifying the classes. Any non zero, non negative value is considered a valid label. It is important that the maximum value of the training label be equal to N, where N is the number of classes represented by the maximum label value in the training data set. The pixels corresponding to each training label is parsed and the mean and covariance is calculated for each class. The background is identified by the label zero and is not parsed for further computation to improve efficiency.

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.

This function is templated over the type of input and output images. In addition, a third parameter for the MembershipFunction needs to be specified. In this case a Membership function that store Gaussian models needs to be specified.

The function EstimateModels() calculated the various models, creates the membership function objects and populates them.

Definition at line 81 of file itkImageGaussianModelEstimator.h.

Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef ImageRegionIterator< TInputImage >	InputImageIterator
typedef TInputImage::PixelType	InputImagePixelType
typedef TInputImage::Pointer	InputImagePointer
typedef TInputImage	InputImageType
typedef TMembershipFunction::Pointer	MembershipFunctionPointer
typedef std::vector< MembershipFunctionPointer >	MembershipFunctionPointerVector
typedef SmartPointer< Self >	Pointer
typedef ImageGaussianModelEstimator	Self
typedef ImageModelEstimatorBase< TInputImage, TMembershipFunction >	Superclass
typedef ImageRegionIterator< TTrainingImage >	TrainingImageIterator
typedef TTrainingImage::PixelType	TrainingImagePixelType
typedef TTrainingImage::Pointer	TrainingImagePointer
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
virtual TrainingImagePointer	GetTrainingImage ()
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	SetTrainingImage (TrainingImagePointer _arg)
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
void	GenerateData ()
	ImageGaussianModelEstimator ()
bool	PrintObservers (std::ostream &os, Indent indent) const
virtual void	PrintSelf (std::ostream &os, Indent indent) const
virtual void	PrintTrailer (std::ostream &os, Indent indent) const
	~ImageGaussianModelEstimator ()
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, class TTrainingImage> typedef SmartPointer<const Self> itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::ConstPointer

Reimplemented from itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >. Definition at line 90 of file itkImageGaussianModelEstimator.h.

template<class TInputImage, class TMembershipFunction, class TTrainingImage> typedef ImageRegionIterator< TInputImage > itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::InputImageIterator

Type definitions for the iterators for the input and training images. Definition at line 114 of file itkImageGaussianModelEstimator.h.

template<class TInputImage, class TMembershipFunction, class TTrainingImage> typedef TInputImage::PixelType itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::InputImagePixelType

Type definition for the vector associated with input image pixel type. Definition at line 106 of file itkImageGaussianModelEstimator.h.

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

Type definition for the input image. Reimplemented from itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >. Definition at line 96 of file itkImageGaussianModelEstimator.h.

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

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, class TTrainingImage> typedef TMembershipFunction::Pointer itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::MembershipFunctionPointer

Type definitions for the membership function . Reimplemented from itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >. Definition at line 119 of file itkImageGaussianModelEstimator.h.

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

Definition at line 87 of file itkImageModelEstimatorBase.h.

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

Reimplemented from itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >. Definition at line 89 of file itkImageGaussianModelEstimator.h.

template<class TInputImage, class TMembershipFunction, class TTrainingImage> typedef ImageGaussianModelEstimator itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::Self

Standard class typedefs. Reimplemented from itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >. Definition at line 86 of file itkImageGaussianModelEstimator.h.

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

Reimplemented from itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >. Definition at line 87 of file itkImageGaussianModelEstimator.h.

template<class TInputImage, class TMembershipFunction, class TTrainingImage> typedef ImageRegionIterator< TTrainingImage > itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::TrainingImageIterator

Definition at line 116 of file itkImageGaussianModelEstimator.h.

template<class TInputImage, class TMembershipFunction, class TTrainingImage> typedef TTrainingImage::PixelType itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::TrainingImagePixelType

Type definitions for the vector holding training image pixel type. Definition at line 110 of file itkImageGaussianModelEstimator.h.

template<class TInputImage, class TMembershipFunction, class TTrainingImage> typedef TTrainingImage::Pointer itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::TrainingImagePointer

Type definitions for the training image. Definition at line 102 of file itkImageGaussianModelEstimator.h.

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Constructor & Destructor Documentation

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

template<class TInputImage, class TMembershipFunction, class TTrainingImage> itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::~ImageGaussianModelEstimator (   )  [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  )  [inherited]

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, inherited]

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

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

Starts the image modelling process Reimplemented from itk::ImageModelEstimatorBase< 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, inherited]

Get the input image.

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

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

Run-time type information (and related methods). Reimplemented from itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >.

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

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, inherited]

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.

template<class TInputImage, class TMembershipFunction, class TTrainingImage> virtual TrainingImagePointer itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::GetTrainingImage (   )  [virtual]

Get the training image.

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().

template<class TInputImage, class TMembershipFunction, class TTrainingImage> static Pointer itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::New (   )  [static]

Method for creation through the object factory. Reimplemented from itk::LightProcessObject.

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, class TTrainingImage> virtual void itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::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::ImageModelEstimatorBase< 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, inherited]

Set the input image.

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

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, inherited]

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.

template<class TInputImage, class TMembershipFunction, class TTrainingImage> virtual void itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::SetTrainingImage (  TrainingImagePointer  _arg  )  [virtual]

Set the training image.

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 (   )  [inherited]

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:

• itkImageGaussianModelEstimator.h

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