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itk::Statistics::GaussianMixtureModelComponent< TSample > Class Template Reference

is a component (derived from MixtureModelComponentBase) for Gaussian class. This class is used in ExpectationMaximizationMixtureModelEstimator. More...

#include <itkGaussianMixtureModelComponent.h>

Inheritance diagram for itk::Statistics::GaussianMixtureModelComponent< TSample >:
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Collaboration diagram for itk::Statistics::GaussianMixtureModelComponent< TSample >:
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List of all members.

Public Types

typedef SmartPointer< const SelfConstPointer
typedef SmartPointer< const SelfConstPointer
typedef
WeightedCovarianceCalculator
< TSample > 
CovarianceEstimatorType
typedef
WeightedCovarianceSampleFilter
< TSample > 
CovarianceEstimatorType
typedef
CovarianceEstimatorType::OutputType 
CovarianceType
typedef
CovarianceEstimatorType::OutputType 
CovarianceType
typedef WeightedMeanCalculator
< TSample > 
MeanEstimatorType
typedef
WeightedMeanSampleFilter
< TSample > 
MeanEstimatorType
typedef
MeanEstimatorType::OutputType 
MeanType
typedef
MeanEstimatorType::OutputType 
MeanType
typedef
Superclass::MeasurementVectorSizeType 
MeasurementVectorSizeType
typedef
Superclass::MeasurementVectorSizeType 
MeasurementVectorSizeType
typedef
Superclass::MeasurementVectorType 
MeasurementVectorType
typedef
Superclass::MeasurementVectorType 
MeasurementVectorType
typedef
Superclass::MembershipFunctionType 
MembershipFunctionType
typedef
Superclass::MembershipFunctionType 
MembershipFunctionType
typedef
GaussianDensityFunction
< MeasurementVectorType
NativeMembershipFunctionType
typedef
GaussianMembershipFunction
< MeasurementVectorType
NativeMembershipFunctionType
typedef Superclass::ParametersType ParametersType
typedef Superclass::ParametersType ParametersType
typedef SmartPointer< SelfPointer
typedef SmartPointer< SelfPointer
typedef
GaussianMixtureModelComponent 
Self
typedef
GaussianMixtureModelComponent 
Self
typedef
MixtureModelComponentBase
< TSample > 
Superclass
typedef
MixtureModelComponentBase
< TSample > 
Superclass
typedef Superclass::WeightArrayType WeightArrayType
typedef Superclass::WeightArrayType WeightArrayType

Public Member Functions

void AreParametersModified (bool flag)
bool AreParametersModified ()
void AreParametersModified (bool flag)
bool AreParametersModified ()
virtual LightObject::Pointer CreateAnother () const
virtual void DebugOff () const
virtual void DebugOn () const
virtual void Delete ()
double Evaluate (MeasurementVectorType &measurements)
double Evaluate (MeasurementVectorType &measurements)
CommandGetCommand (unsigned long tag)
bool GetDebug () const
virtual ParametersType GetFullParameters ()
virtual ParametersType GetFullParameters ()
MembershipFunctionTypeGetMembershipFunction ()
MembershipFunctionTypeGetMembershipFunction ()
MetaDataDictionaryGetMetaDataDictionary (void)
const MetaDataDictionaryGetMetaDataDictionary (void) const
double GetMinimalParametersChange ()
double GetMinimalParametersChange ()
virtual unsigned long GetMTime () const
virtual int GetReferenceCount () const
const TSample * GetSample () const
const TSample * GetSample () const
double GetWeight (int index)
double GetWeight (unsigned int index) const
WeightArrayTypeGetWeights ()
virtual const WeightArrayTypeGetWeights ()
bool HasObserver (const EventObject &event) const
void InvokeEvent (const EventObject &)
void InvokeEvent (const EventObject &) const
virtual void Modified () const
void Print (std::ostream &os, Indent indent=0) const
virtual void Register () const
void RemoveAllObservers ()
void RemoveObserver (unsigned long tag)
void SetDebug (bool debugFlag) const
void SetMetaDataDictionary (const MetaDataDictionary &rhs)
void SetMinimalParametersChange (double change)
void SetMinimalParametersChange (double change)
void SetParameters (const ParametersType &parameters)
void SetParameters (const ParametersType &parameters)
virtual void SetParameters (const ParametersType &parameters)
virtual void SetReferenceCount (int)
void SetSample (const TSample *sample)
void SetSample (const TSample *sample)
void SetWeight (unsigned int index, double value)
void SetWeight (int index, double value)
virtual void UnRegister () const
virtual void Update ()
virtual void Update ()

unsigned long AddObserver (const EventObject &event, Command *)
unsigned long AddObserver (const EventObject &event, Command *) const

Static Public Member Functions

static void BreakOnError ()

static void SetGlobalWarningDisplay (bool flag)
static bool GetGlobalWarningDisplay ()
static void GlobalWarningDisplayOn ()
static void GlobalWarningDisplayOff ()

Protected Types

typedef int InternalReferenceCountType

Protected Member Functions

double CalculateParametersChange ()
double CalculateParametersChange ()
void CreateWeightArray ()
void DeleteWeightArray ()
 GaussianMixtureModelComponent ()
 GaussianMixtureModelComponent ()
void GenerateData ()
void GenerateData ()
bool PrintObservers (std::ostream &os, Indent indent) const
void PrintSelf (std::ostream &os, Indent indent) const
void PrintSelf (std::ostream &os, Indent indent) const
void SetMembershipFunction (MembershipFunctionType *function)
void SetMembershipFunction (MembershipFunctionType *function)
virtual ~GaussianMixtureModelComponent ()
virtual ~GaussianMixtureModelComponent ()

virtual void PrintHeader (std::ostream &os, Indent indent) const
virtual void PrintTrailer (std::ostream &os, Indent indent) const

Protected Attributes

InternalReferenceCountType m_ReferenceCount
SimpleFastMutexLock m_ReferenceCountLock



virtual const char * GetNameOfClass () const
static Pointer New ()



virtual const char * GetNameOfClass () const
static Pointer New ()

Detailed Description

template<class TSample>
class itk::Statistics::GaussianMixtureModelComponent< TSample >

is a component (derived from MixtureModelComponentBase) for Gaussian class. This class is used in ExpectationMaximizationMixtureModelEstimator.

On every iteration of EM estimation, this class's GenerateData method is called to compute the new distribution parameters.

Recent API changes: The static const macro to get the length of a measurement vector, MeasurementVectorSize has been removed to allow the length of a measurement vector to be specified at run time. It is now obtained at run time from the sample set as input. Please use the function GetMeasurementVectorSize() to get the length.

See also:
MixtureModelComponentBase, ExpectationMaximizationMixtureModelEstimator

Definition at line 48 of file Numerics/Statistics/itkGaussianMixtureModelComponent.h.


Member Typedef Documentation

template<class TSample >
typedef SmartPointer<const Self> itk::Statistics::GaussianMixtureModelComponent< TSample >::ConstPointer
template<class TSample >
typedef SmartPointer<const Self> itk::Statistics::GaussianMixtureModelComponent< TSample >::ConstPointer

Type of the covariance matrix

Definition at line 84 of file Numerics/Statistics/itkGaussianMixtureModelComponent.h.

Type of the covariance matrix

Definition at line 84 of file Review/Statistics/itkGaussianMixtureModelComponent.h.

typedef int itk::LightObject::InternalReferenceCountType [protected, inherited]

Define the type of the reference count according to the target. This allows the use of atomic operations

Definition at line 139 of file itkLightObject.h.

template<class TSample >
typedef WeightedMeanCalculator< TSample > itk::Statistics::GaussianMixtureModelComponent< TSample >::MeanEstimatorType

Types of the mean and the covariance calculator that will update this component's distribution parameters

Definition at line 77 of file Numerics/Statistics/itkGaussianMixtureModelComponent.h.

template<class TSample >
typedef WeightedMeanSampleFilter< TSample > itk::Statistics::GaussianMixtureModelComponent< TSample >::MeanEstimatorType

Types of the mean and the covariance calculator that will update this component's distribution parameters

Definition at line 77 of file Review/Statistics/itkGaussianMixtureModelComponent.h.

Type of the mean vector

Definition at line 81 of file Numerics/Statistics/itkGaussianMixtureModelComponent.h.

Type of the mean vector

Definition at line 81 of file Review/Statistics/itkGaussianMixtureModelComponent.h.

Typedefs from the superclass

Reimplemented from itk::Statistics::MixtureModelComponentBase< TSample >.

Definition at line 60 of file Review/Statistics/itkGaussianMixtureModelComponent.h.

Typedefs from the superclass

Reimplemented from itk::Statistics::MixtureModelComponentBase< TSample >.

Definition at line 60 of file Numerics/Statistics/itkGaussianMixtureModelComponent.h.

Type of the membership function. Gaussian density function

Definition at line 73 of file Numerics/Statistics/itkGaussianMixtureModelComponent.h.

Type of the membership function. Gaussian density function

Definition at line 73 of file Review/Statistics/itkGaussianMixtureModelComponent.h.

template<class TSample >
typedef SmartPointer<Self> itk::Statistics::GaussianMixtureModelComponent< TSample >::Pointer
template<class TSample >
typedef SmartPointer<Self> itk::Statistics::GaussianMixtureModelComponent< TSample >::Pointer

Standard class typedefs.

Reimplemented from itk::Statistics::MixtureModelComponentBase< TSample >.

Definition at line 53 of file Numerics/Statistics/itkGaussianMixtureModelComponent.h.

Standard class typedefs.

Reimplemented from itk::Statistics::MixtureModelComponentBase< TSample >.

Definition at line 53 of file Review/Statistics/itkGaussianMixtureModelComponent.h.

template<class TSample >
typedef MixtureModelComponentBase< TSample > itk::Statistics::GaussianMixtureModelComponent< TSample >::Superclass
template<class TSample >
typedef MixtureModelComponentBase< TSample > itk::Statistics::GaussianMixtureModelComponent< TSample >::Superclass

typedef of strorage for the weights

Reimplemented from itk::Statistics::MixtureModelComponentBase< TSample >.

Definition at line 68 of file Numerics/Statistics/itkGaussianMixtureModelComponent.h.

typedef of strorage for the weights

Reimplemented from itk::Statistics::MixtureModelComponentBase< TSample >.

Definition at line 68 of file Review/Statistics/itkGaussianMixtureModelComponent.h.


Constructor & Destructor Documentation

template<class TSample >
itk::Statistics::GaussianMixtureModelComponent< TSample >::GaussianMixtureModelComponent (  )  [protected]
template<class TSample >
virtual itk::Statistics::GaussianMixtureModelComponent< TSample >::~GaussianMixtureModelComponent (  )  [inline, protected, virtual]
template<class TSample >
itk::Statistics::GaussianMixtureModelComponent< TSample >::GaussianMixtureModelComponent (  )  [protected]
template<class TSample >
virtual itk::Statistics::GaussianMixtureModelComponent< TSample >::~GaussianMixtureModelComponent (  )  [inline, protected, virtual]

Member Function Documentation

unsigned long itk::Object::AddObserver ( const EventObject event,
Command  
) [inherited]

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::Command to execute. It returns an unsigned long tag which can be used later to remove the event or retrieve the command. The memory for the Command becomes the responsibility of this object, so don't pass the same instance of a command to two different objects

unsigned long itk::Object::AddObserver ( const EventObject event,
Command  
) const [inherited]

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::Command to execute. It returns an unsigned long tag which can be used later to remove the event or retrieve the command. The memory for the Command becomes the responsibility of this object, so don't pass the same instance of a command to two different objects

template<class TSample >
void itk::Statistics::MixtureModelComponentBase< TSample >::AreParametersModified ( bool  flag  )  [inherited]

sets the parameters modified tag. if one or more of the membership funtion's parameters are changed, then flag should be true

template<class TSample >
bool itk::Statistics::MixtureModelComponentBase< TSample >::AreParametersModified (  )  [inherited]

returns the value of parameter modified tag

template<class TSample >
void itk::Statistics::MixtureModelComponentBase< TSample >::AreParametersModified ( bool  flag  )  [inherited]

sets the parameters modified tag. if one or more of the membership funtion's parameters are changed, then flag should be true

template<class TSample >
bool itk::Statistics::MixtureModelComponentBase< TSample >::AreParametersModified (  )  [inherited]

returns the value of parameter modified tag

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

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

template<class TSample >
double itk::Statistics::GaussianMixtureModelComponent< TSample >::CalculateParametersChange (  )  [protected]

Returns the sum of squared changes in parameters between iterations

template<class TSample >
double itk::Statistics::GaussianMixtureModelComponent< TSample >::CalculateParametersChange (  )  [protected]

Returns the sum of squared changes in parameters between iterations

virtual LightObject::Pointer itk::Object::CreateAnother (  )  const [virtual, inherited]
template<class TSample >
void itk::Statistics::MixtureModelComponentBase< TSample >::CreateWeightArray (  )  [protected, inherited]

allocates the weights array

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 TSample >
void itk::Statistics::MixtureModelComponentBase< TSample >::DeleteWeightArray (  )  [protected, inherited]

deallocates the weights array

template<class TSample >
double itk::Statistics::MixtureModelComponentBase< TSample >::Evaluate ( MeasurementVectorType measurements  )  [inherited]

returns the membership score of the "measurements" vector

template<class TSample >
double itk::Statistics::MixtureModelComponentBase< TSample >::Evaluate ( MeasurementVectorType measurements  )  [inherited]

returns the membership score of the "measurements" vector

template<class TSample >
void itk::Statistics::GaussianMixtureModelComponent< TSample >::GenerateData (  )  [protected, virtual]

Computes the new distribution parameters

Reimplemented from itk::Statistics::MixtureModelComponentBase< TSample >.

template<class TSample >
void itk::Statistics::GaussianMixtureModelComponent< TSample >::GenerateData (  )  [protected, virtual]

Computes the new distribution parameters

Reimplemented from itk::Statistics::MixtureModelComponentBase< TSample >.

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.

template<class TSample >
virtual ParametersType itk::Statistics::MixtureModelComponentBase< TSample >::GetFullParameters (  )  [inline, virtual, inherited]
template<class TSample >
virtual ParametersType itk::Statistics::MixtureModelComponentBase< TSample >::GetFullParameters (  )  [inline, virtual, inherited]
static bool itk::Object::GetGlobalWarningDisplay (  )  [static, inherited]

This is a global flag that controls whether any debug, warning or error messages are displayed.

template<class TSample >
MembershipFunctionType* itk::Statistics::MixtureModelComponentBase< TSample >::GetMembershipFunction (  )  [inherited]

returns the pointer to the membership function object. Subclasses of this class are responsible for creating the actual membership function objects and cast them to MembershipFunctionBase objects

template<class TSample >
MembershipFunctionType* itk::Statistics::MixtureModelComponentBase< TSample >::GetMembershipFunction (  )  [inherited]

returns the pointer to the membership function object. Subclasses of this class are responsible for creating the actual membership function objects and cast them to MembershipFunctionBase objects

MetaDataDictionary& itk::Object::GetMetaDataDictionary ( void   )  [inherited]
Returns:
A reference to this objects MetaDataDictionary.
Warning:
This reference may be changed.
const MetaDataDictionary& itk::Object::GetMetaDataDictionary ( void   )  const [inherited]
Returns:
A constant reference to this objects MetaDataDictionary.
template<class TSample >
double itk::Statistics::MixtureModelComponentBase< TSample >::GetMinimalParametersChange (  )  [inline, inherited]
template<class TSample >
double itk::Statistics::MixtureModelComponentBase< TSample >::GetMinimalParametersChange (  )  [inline, inherited]
virtual unsigned long itk::Object::GetMTime (  )  const [virtual, inherited]

Return this objects modified time.

Reimplemented in itk::ImageRegistrationMethod< TFixedImage, TMovingImage >, itk::ImageToSpatialObjectRegistrationMethod< TFixedImage, TMovingSpatialObject >, itk::MultiResolutionImageRegistrationMethod< TFixedImage, TMovingImage >, itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >, itk::PointSetToPointSetRegistrationMethod< TFixedPointSet, TMovingPointSet >, itk::DeformationFieldSource< TOutputImage >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer >, itk::ImageAdaptor< TImage, TAccessor >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType >, itk::ImageSpatialObject< TDimension, TPixelType >, itk::MeshSpatialObject< TMesh >, itk::SceneSpatialObject< TSpaceDimension >, itk::SpatialObject< TDimension >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ImageSpatialObject< TDimension, unsigned char >, itk::SpatialObject< 3 >, and itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >.

Referenced by itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >::GetObjectMTime().

template<class TSample >
virtual const char* itk::Statistics::GaussianMixtureModelComponent< TSample >::GetNameOfClass (  )  const [virtual]

Standard Macros

Reimplemented from itk::Statistics::MixtureModelComponentBase< TSample >.

template<class TSample >
virtual const char* itk::Statistics::GaussianMixtureModelComponent< TSample >::GetNameOfClass (  )  const [virtual]

Standard Macros

Reimplemented from itk::Statistics::MixtureModelComponentBase< TSample >.

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

Gets the reference count on this object.

Definition at line 106 of file itkLightObject.h.

template<class TSample >
const TSample* itk::Statistics::MixtureModelComponentBase< TSample >::GetSample (  )  const [inherited]

returns the sample pointer

template<class TSample >
const TSample* itk::Statistics::MixtureModelComponentBase< TSample >::GetSample (  )  const [inherited]

returns the sample pointer

template<class TSample >
double itk::Statistics::MixtureModelComponentBase< TSample >::GetWeight ( unsigned int  index  )  const [inherited]

returns the index-th weight

template<class TSample >
double itk::Statistics::MixtureModelComponentBase< TSample >::GetWeight ( int  index  )  [inherited]

returns the index-th weight

template<class TSample >
virtual const WeightArrayType& itk::Statistics::MixtureModelComponentBase< TSample >::GetWeights (  )  [virtual, inherited]

returns the pointer to the weights array

template<class TSample >
WeightArrayType* itk::Statistics::MixtureModelComponentBase< TSample >::GetWeights (  )  [inherited]

returns the pointer to the weights array

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

This is a global flag that controls whether any debug, warning or error messages are displayed.

Definition at line 100 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

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

This is a global flag that controls whether any debug, warning or error messages are displayed.

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  )  [inherited]

Call Execute on all the Commands observing this event id.

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.

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.

Reimplemented in itk::NormalizeImageFilter< TInputImage, TOutputImage >, itk::ImageAdaptor< TImage, TAccessor >, itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, TFilter >, itk::GrayscaleDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, and itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, RankImageFilter< TInputImage, TInputImage, FlatStructuringElement< ::itk::GetImageDimension< TInputImage >::ImageDimension > > >.

Referenced by itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InsertNarrowBandNode(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetCenter(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetMatrix(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBand(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandInnerRadius(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandTotalRadius(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetOffset(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetRealThresholds(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetThresholds(), itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::SetTotalObservedScale(), and itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetTranslation().

template<class TSample >
static Pointer itk::Statistics::GaussianMixtureModelComponent< TSample >::New (  )  [static]

Standard Macros

Reimplemented from itk::Statistics::MixtureModelComponentBase< TSample >.

template<class TSample >
static Pointer itk::Statistics::GaussianMixtureModelComponent< TSample >::New (  )  [static]

Standard Macros

Reimplemented from itk::Statistics::MixtureModelComponentBase< TSample >.

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

Cause the object to print itself out.

Referenced by itk::WeakPointer< ProcessObject >::Print().

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

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.

bool itk::Object::PrintObservers ( std::ostream &  os,
Indent  indent 
) const [protected, inherited]
template<class TSample >
void itk::Statistics::GaussianMixtureModelComponent< TSample >::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::Statistics::MixtureModelComponentBase< TSample >.

template<class TSample >
void itk::Statistics::GaussianMixtureModelComponent< TSample >::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::Statistics::MixtureModelComponentBase< TSample >.

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

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.

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.

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

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

static void itk::Object::SetGlobalWarningDisplay ( bool  flag  )  [static, inherited]

This is a global flag that controls whether any debug, warning or error messages are displayed.

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

template<class TSample >
void itk::Statistics::MixtureModelComponentBase< TSample >::SetMembershipFunction ( MembershipFunctionType function  )  [protected, inherited]

stores the pointer to the membership function. subclasses use this funtion to store their membership function object after dynamic creation

template<class TSample >
void itk::Statistics::MixtureModelComponentBase< TSample >::SetMembershipFunction ( MembershipFunctionType function  )  [protected, inherited]

stores the pointer to the membership function. subclasses use this funtion to store their membership function object after dynamic creation

void itk::Object::SetMetaDataDictionary ( const MetaDataDictionary rhs  )  [inherited]
Returns:
Set the MetaDataDictionary
template<class TSample >
void itk::Statistics::MixtureModelComponentBase< TSample >::SetMinimalParametersChange ( double  change  )  [inline, inherited]
template<class TSample >
void itk::Statistics::MixtureModelComponentBase< TSample >::SetMinimalParametersChange ( double  change  )  [inline, inherited]
template<class TSample >
void itk::Statistics::GaussianMixtureModelComponent< TSample >::SetParameters ( const ParametersType parameters  ) 

Sets the component's distribution parameters.

template<class TSample >
virtual void itk::Statistics::MixtureModelComponentBase< TSample >::SetParameters ( const ParametersType parameters  )  [virtual, inherited]
template<class TSample >
void itk::Statistics::GaussianMixtureModelComponent< TSample >::SetParameters ( const ParametersType parameters  ) 

Sets the component's distribution parameters.

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

Sets the reference count (use with care)

Reimplemented from itk::LightObject.

template<class TSample >
void itk::Statistics::GaussianMixtureModelComponent< TSample >::SetSample ( const TSample *  sample  )  [virtual]

Sets the input sample

Reimplemented from itk::Statistics::MixtureModelComponentBase< TSample >.

template<class TSample >
void itk::Statistics::GaussianMixtureModelComponent< TSample >::SetSample ( const TSample *  sample  )  [virtual]

Sets the input sample

Reimplemented from itk::Statistics::MixtureModelComponentBase< TSample >.

template<class TSample >
void itk::Statistics::MixtureModelComponentBase< TSample >::SetWeight ( int  index,
double  value 
) [inherited]

sets the index-th weight with the "value"

template<class TSample >
void itk::Statistics::MixtureModelComponentBase< TSample >::SetWeight ( unsigned int  index,
double  value 
) [inherited]

sets the index-th weight with the "value"

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

Decrease the reference count (release by another object).

Reimplemented from itk::LightObject.

template<class TSample >
virtual void itk::Statistics::MixtureModelComponentBase< TSample >::Update (  )  [virtual, inherited]
template<class TSample >
virtual void itk::Statistics::MixtureModelComponentBase< TSample >::Update (  )  [virtual, inherited]

Member Data Documentation

Number of uses of this object by other objects.

Definition at line 144 of file itkLightObject.h.

Mutex lock to protect modification to the reference count

Definition at line 147 of file itkLightObject.h.


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

Generated at Tue Jul 13 2010 04:03:22 for ITK by doxygen 1.7.1 written by Dimitri van Heesch, © 1997-2000