Main Page   Groups   Namespace List   Class Hierarchy   Alphabetical List   Compound List   File List   Namespace Members   Compound Members   File Members   Concepts
Public Types | Public Member Functions | Static Public Member Functions | Protected Member Functions | Protected Attributes

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

This class generates the parameter estimates for a mixture model using expectation maximization strategy. More...

#include <itkExpectationMaximizationMixtureModelEstimator.h>

Inheritance diagram for itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >:
Inheritance graph
[legend]
Collaboration diagram for itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >:
Collaboration graph
[legend]

List of all members.

Public Types

typedef MembershipFunctionBase
< MeasurementVectorType > 		ComponentMembershipFunctionType
typedef MembershipFunctionBase
< MeasurementVectorType > 		ComponentMembershipFunctionType
typedef
MixtureModelComponentBase
< TSample > 		ComponentType
typedef
MixtureModelComponentBase
< TSample > 		ComponentType
typedef std::vector
< ComponentType * > 		ComponentVectorType
typedef std::vector
< ComponentType * > 		ComponentVectorType
typedef SmartPointer< const Self > ConstPointer
typedef SmartPointer< const Self > ConstPointer
typedef
GaussianMembershipFunctionType::Pointer 		GaussianMembershipFunctionPointer
typedef
GaussianMembershipFunction
< MeasurementVectorType > 		GaussianMembershipFunctionType
typedef TSample::MeasurementType MeasurementType
typedef TSample::MeasurementType MeasurementType
typedef
TSample::MeasurementVectorType 		MeasurementVectorType
typedef
TSample::MeasurementVectorType 		MeasurementVectorType
typedef
MembershipFunctionType::ConstPointer 		MembershipFunctionPointer
typedef
SimpleDataObjectDecorator
< ProportionVectorType > 		MembershipFunctionsWeightsArrayObjectType
typedef
MembershipFunctionsWeightsArrayObjectType::Pointer 		MembershipFunctionsWeightsArrayPointer
typedef MembershipFunctionBase
< MeasurementVectorType > 		MembershipFunctionType
typedef
MembershipFunctionVectorObjectType::Pointer 		MembershipFunctionVectorObjectPointer
typedef
SimpleDataObjectDecorator
< MembershipFunctionVectorType > 		MembershipFunctionVectorObjectType
typedef std::vector
< MembershipFunctionPointer > 		MembershipFunctionVectorType
typedef SmartPointer< Self > Pointer
typedef SmartPointer< Self > Pointer
typedef Array< double > ProportionVectorType
typedef Array< double > ProportionVectorType
typedef TSample SampleType
typedef
ExpectationMaximizationMixtureModelEstimator 		Self
typedef
ExpectationMaximizationMixtureModelEstimator 		Self
typedef Object Superclass
typedef Object Superclass
enum  TERMINATION_CODE {
  CONVERGED = 0,
  NOT_CONVERGED = 1,
  CONVERGED = 0,
  NOT_CONVERGED = 1
}
enum  TERMINATION_CODE {
  CONVERGED = 0,
  NOT_CONVERGED = 1,
  CONVERGED = 0,
  NOT_CONVERGED = 1
}

Public Member Functions

int AddComponent (ComponentType *component)
int AddComponent (ComponentType *component)
virtual LightObject::Pointer CreateAnother () const
virtual void DebugOff () const
virtual void DebugOn () const
virtual void Delete ()
Command * GetCommand (unsigned long tag)
ComponentMembershipFunctionType * GetComponentMembershipFunction (int componentIndex) const
ComponentMembershipFunctionType * GetComponentMembershipFunction (int componentIndex)
int GetCurrentIteration ()
int GetCurrentIteration ()
bool GetDebug () const
const
MembershipFunctionsWeightsArrayObjectType * 		GetMembershipFunctionsWeightsArray () const
MetaDataDictionary & GetMetaDataDictionary (void)
const MetaDataDictionary & GetMetaDataDictionary (void) const
virtual unsigned long GetMTime () const
unsigned int GetNumberOfComponents () const
unsigned int GetNumberOfComponents ()
const
MembershipFunctionVectorObjectType * 		GetOutput () const
ProportionVectorType * GetProportions ()
const ProportionVectorType & GetProportions () const
virtual int GetReferenceCount () const
const TSample * GetSample () const
const TSample * GetSample () const
TERMINATION_CODE GetTerminationCode ()
TERMINATION_CODE GetTerminationCode () const
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)
virtual void SetReferenceCount (int)
void SetSample (const TSample *sample)
void SetSample (const TSample *sample)
virtual void UnRegister () const
void Update ()
void Update ()

void SetInitialProportions (ProportionVectorType &propotion)
ProportionVectorType * GetInitialProportions ()

void SetMaximumIteration (int numberOfIterations)
int GetMaximumIteration ()

void SetInitialProportions (ProportionVectorType &propotion)
const ProportionVectorType & GetInitialProportions () const

void SetMaximumIteration (int numberOfIterations)
int GetMaximumIteration () const

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

bool CalculateDensities ()
bool CalculateDensities ()
double CalculateExpectation ()
double CalculateExpectation () const
 ExpectationMaximizationMixtureModelEstimator ()
 ExpectationMaximizationMixtureModelEstimator ()
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
bool UpdateComponentParameters ()
bool UpdateComponentParameters ()
bool UpdateProportions ()
bool UpdateProportions ()
virtual ~ExpectationMaximizationMixtureModelEstimator ()
virtual ~ExpectationMaximizationMixtureModelEstimator ()

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::ExpectationMaximizationMixtureModelEstimator< TSample >

This class generates the parameter estimates for a mixture model using expectation maximization strategy.

The first template argument is the type of the target sample data. This estimator expects one or more mixture model component objects of the classes derived from the MixtureModelComponentBase. The actual component (or module) parameters are updated by each component. Users can think this class as a strategy or a integration point for the EM procedure. The initial proportion (SetInitialProportions), the input sample (SetSample), the mixture model components (AddComponent), and the maximum iteration (SetMaximumIteration) are required. The EM procedure terminates when the current iteration reaches the maximum iteration or the model parameters converge.

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, GaussianMixtureModelComponent

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

Member Typedef Documentation

template<class TSample >
typedef MembershipFunctionBase< MeasurementVectorType > itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::ComponentMembershipFunctionType

Type of the membership function base class

Definition at line 80 of file Numerics/Statistics/itkExpectationMaximizationMixtureModelEstimator.h.

template<class TSample >
typedef MembershipFunctionBase< MeasurementVectorType > itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::ComponentMembershipFunctionType

Type of the membership function base class

Definition at line 99 of file Review/Statistics/itkExpectationMaximizationMixtureModelEstimator.h.

template<class TSample >
typedef MixtureModelComponentBase< TSample > itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::ComponentType

Type of the mixture model component base class

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

template<class TSample >
typedef MixtureModelComponentBase< TSample > itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::ComponentType

Type of the mixture model component base class

Definition at line 92 of file Review/Statistics/itkExpectationMaximizationMixtureModelEstimator.h.

template<class TSample >
typedef std::vector< ComponentType* > itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::ComponentVectorType

Type of the component pointer storage

Definition at line 76 of file Numerics/Statistics/itkExpectationMaximizationMixtureModelEstimator.h.

template<class TSample >
typedef std::vector< ComponentType* > itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::ComponentVectorType

Type of the component pointer storage

Definition at line 95 of file Review/Statistics/itkExpectationMaximizationMixtureModelEstimator.h.

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

Reimplemented from itk::Object.

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

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

Reimplemented from itk::Object.

Definition at line 61 of file Review/Statistics/itkExpectationMaximizationMixtureModelEstimator.h.

template<class TSample >
typedef GaussianMembershipFunctionType::Pointer itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::GaussianMembershipFunctionPointer

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

template<class TSample >
typedef GaussianMembershipFunction< MeasurementVectorType > itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::GaussianMembershipFunctionType

Typedef requried to generate dataobject decorated output that can be plugged into SampleClassifierFilter

Definition at line 78 of file Review/Statistics/itkExpectationMaximizationMixtureModelEstimator.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 TSample::MeasurementType itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::MeasurementType

Definition at line 71 of file Review/Statistics/itkExpectationMaximizationMixtureModelEstimator.h.

template<class TSample >
typedef TSample::MeasurementType itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::MeasurementType

TSample template argument related typedefs

Definition at line 65 of file Numerics/Statistics/itkExpectationMaximizationMixtureModelEstimator.h.

template<class TSample >
typedef TSample::MeasurementVectorType itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::MeasurementVectorType

Definition at line 72 of file Review/Statistics/itkExpectationMaximizationMixtureModelEstimator.h.

template<class TSample >
typedef TSample::MeasurementVectorType itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::MeasurementVectorType

Definition at line 70 of file Numerics/Statistics/itkExpectationMaximizationMixtureModelEstimator.h.

template<class TSample >
typedef MembershipFunctionType::ConstPointer itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::MembershipFunctionPointer

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

template<class TSample >
typedef SimpleDataObjectDecorator< ProportionVectorType> itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::MembershipFunctionsWeightsArrayObjectType

typedef for decorated array of proportion

Definition at line 121 of file Review/Statistics/itkExpectationMaximizationMixtureModelEstimator.h.

template<class TSample >
typedef MembershipFunctionsWeightsArrayObjectType::Pointer itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::MembershipFunctionsWeightsArrayPointer

Definition at line 123 of file Review/Statistics/itkExpectationMaximizationMixtureModelEstimator.h.

template<class TSample >
typedef MembershipFunctionBase< MeasurementVectorType > itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::MembershipFunctionType

Definition at line 83 of file Review/Statistics/itkExpectationMaximizationMixtureModelEstimator.h.

template<class TSample >
typedef MembershipFunctionVectorObjectType::Pointer itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::MembershipFunctionVectorObjectPointer

Definition at line 89 of file Review/Statistics/itkExpectationMaximizationMixtureModelEstimator.h.

template<class TSample >
typedef SimpleDataObjectDecorator< MembershipFunctionVectorType > itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::MembershipFunctionVectorObjectType

Definition at line 87 of file Review/Statistics/itkExpectationMaximizationMixtureModelEstimator.h.

template<class TSample >
typedef std::vector< MembershipFunctionPointer > itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::MembershipFunctionVectorType

Definition at line 85 of file Review/Statistics/itkExpectationMaximizationMixtureModelEstimator.h.

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

Reimplemented from itk::Object.

Definition at line 59 of file Numerics/Statistics/itkExpectationMaximizationMixtureModelEstimator.h.

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

Reimplemented from itk::Object.

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

template<class TSample >
typedef Array< double > itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::ProportionVectorType

Type of the array of the proportion values

Definition at line 83 of file Numerics/Statistics/itkExpectationMaximizationMixtureModelEstimator.h.

template<class TSample >
typedef Array< double > itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::ProportionVectorType

Type of the array of the proportion values

Definition at line 102 of file Review/Statistics/itkExpectationMaximizationMixtureModelEstimator.h.

template<class TSample >
typedef TSample itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::SampleType

TSample template argument related typedefs

Definition at line 66 of file Review/Statistics/itkExpectationMaximizationMixtureModelEstimator.h.

template<class TSample >
typedef ExpectationMaximizationMixtureModelEstimator itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::Self

Standard class typedef

Reimplemented from itk::Object.

Definition at line 58 of file Review/Statistics/itkExpectationMaximizationMixtureModelEstimator.h.

template<class TSample >
typedef ExpectationMaximizationMixtureModelEstimator itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::Self

Standard class typedef

Reimplemented from itk::Object.

Definition at line 57 of file Numerics/Statistics/itkExpectationMaximizationMixtureModelEstimator.h.

template<class TSample >
typedef Object itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::Superclass

Reimplemented from itk::Object.

Definition at line 59 of file Review/Statistics/itkExpectationMaximizationMixtureModelEstimator.h.

template<class TSample >
typedef Object itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::Superclass

Reimplemented from itk::Object.

Definition at line 58 of file Numerics/Statistics/itkExpectationMaximizationMixtureModelEstimator.h.

Member Enumeration Documentation

template<class TSample >
enum itk::Statistics::ExpectationMaximizationMixtureModelEstimator::TERMINATION_CODE

Termination status after running optimization

Enumerator:
CONVERGED 
NOT_CONVERGED 
CONVERGED 
NOT_CONVERGED 

Definition at line 122 of file Numerics/Statistics/itkExpectationMaximizationMixtureModelEstimator.h.

template<class TSample >
enum itk::Statistics::ExpectationMaximizationMixtureModelEstimator::TERMINATION_CODE

Termination status after running optimization

Enumerator:
CONVERGED 
NOT_CONVERGED 
CONVERGED 
NOT_CONVERGED 

Definition at line 152 of file Review/Statistics/itkExpectationMaximizationMixtureModelEstimator.h.

Constructor & Destructor Documentation

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

Definition at line 133 of file Numerics/Statistics/itkExpectationMaximizationMixtureModelEstimator.h.

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

Definition at line 167 of file Review/Statistics/itkExpectationMaximizationMixtureModelEstimator.h.

Member Function Documentation

template<class TSample >
int itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::AddComponent ( ComponentType *  component  ) 

Adds a new component (or class).

template<class TSample >
int itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::AddComponent ( ComponentType *  component  ) 

Adds a new component (or class).

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

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 >
bool itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::CalculateDensities (  )  [protected]
template<class TSample >
bool itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::CalculateDensities (  )  [protected]
template<class TSample >
double itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::CalculateExpectation (  )  [protected]
template<class TSample >
double itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::CalculateExpectation (  )  const [protected]
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.

Reimplemented in itk::BSplineDeformableTransform< TScalarType, NDimensions, VSplineOrder >, itk::CreateObjectFunction< T >, itk::TransformFactoryBase, itk::AnalyzeImageIOFactory, itk::BioRadImageIOFactory, itk::BMPImageIOFactory, itk::Brains2MaskImageIOFactory, itk::DICOMImageIO2Factory, itk::DicomImageIOFactory, itk::GDCMImageIOFactory, itk::GE4ImageIOFactory, itk::GE5ImageIOFactory, itk::GEAdwImageIOFactory, itk::GiplImageIOFactory, itk::JPEGImageIOFactory, itk::LSMImageIOFactory, itk::MetaImageIOFactory, itk::NiftiImageIOFactory, itk::NrrdImageIOFactory, itk::PNGImageIOFactory, itk::RawImageIOFactory< TPixel, VImageDimension >, itk::SiemensVisionImageIOFactory, itk::StimulateImageIOFactory, itk::TIFFImageIOFactory, itk::VTKImageIOFactory, itk::Bruker2DSEQImageIOFactory, itk::MatlabTransformIOFactory, itk::MINC2ImageIOFactory, itk::MRCImageIOFactory, itk::PhilipsRECImageIOFactory, itk::TxtTransformIOFactory, itk::VoxBoCUBImageIOFactory, itk::VTKImageIO2Factory, and itk::SpatialObjectFactoryBase.

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::ExpectationMaximizationMixtureModelEstimator< TSample >::GenerateData (  )  [protected]

Starts the estimation process

template<class TSample >
void itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::GenerateData (  )  [protected]

Starts the estimation process

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.

template<class TSample >
ComponentMembershipFunctionType* itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::GetComponentMembershipFunction ( int  componentIndex  )  const

Gets the membership function specified by componentIndex argument.

template<class TSample >
ComponentMembershipFunctionType* itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::GetComponentMembershipFunction ( int  componentIndex  ) 

Gets the membership function specified by componentIndex argument.

template<class TSample >
int itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::GetCurrentIteration (  )  [inline]

Gets the current iteration.

Definition at line 137 of file Review/Statistics/itkExpectationMaximizationMixtureModelEstimator.h.

template<class TSample >
int itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::GetCurrentIteration (  )  [inline]

Gets the current iteration.

Definition at line 109 of file Numerics/Statistics/itkExpectationMaximizationMixtureModelEstimator.h.

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

Get the value of the debug flag.

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 >
ProportionVectorType* itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::GetInitialProportions (  ) 

Set/Gets the initial proportion values. The size of proportion vector should be same as the number of component (or classes)

template<class TSample >
const ProportionVectorType& itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::GetInitialProportions (  )  const

Set/Gets the initial proportion values. The size of proportion vector should be same as the number of component (or classes)

template<class TSample >
int itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::GetMaximumIteration (  ) 

Set/Gets the maximum number of iterations. When the optimization process reaches the maximum number of interations, even if the class parameters aren't converged, the optimization process stops.

template<class TSample >
int itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::GetMaximumIteration (  )  const

Set/Gets the maximum number of iterations. When the optimization process reaches the maximum number of interations, even if the class parameters aren't converged, the optimization process stops.

template<class TSample >
const MembershipFunctionsWeightsArrayObjectType* itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::GetMembershipFunctionsWeightsArray (  )  const

Get method for data decorated Membership functions weights array

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.
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::ExpectationMaximizationMixtureModelEstimator< TSample >::GetNameOfClass (  )  const [virtual]

Standard macros

Reimplemented from itk::Object.

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

Standard macros

Reimplemented from itk::Object.

template<class TSample >
unsigned int itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::GetNumberOfComponents (  )  const

Gets the total number of classes currently plugged in.

template<class TSample >
unsigned int itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::GetNumberOfComponents (  ) 

Gets the total number of classes currently plugged in.

template<class TSample >
const MembershipFunctionVectorObjectType* itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::GetOutput (  )  const

Output Membership function vector containing the membership functions with the final optimized paramters

template<class TSample >
const ProportionVectorType& itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::GetProportions (  )  const

Gets the result proportion values

template<class TSample >
ProportionVectorType* itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::GetProportions (  ) 

Gets the result proportion values

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::ExpectationMaximizationMixtureModelEstimator< TSample >::GetSample (  )  const

Returns the target data

template<class TSample >
const TSample* itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::GetSample (  )  const

Returns the target data

template<class TSample >
TERMINATION_CODE itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::GetTerminationCode (  ) 

Gets the termination status

template<class TSample >
TERMINATION_CODE itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::GetTerminationCode (  )  const

Gets the termination status

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 &   )  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.

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::ExpectationMaximizationMixtureModelEstimator< TSample >::New (  )  [static]

Standard macros

Reimplemented from itk::Object.

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

Standard macros

Reimplemented from itk::Object.

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::ExpectationMaximizationMixtureModelEstimator< 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::Object.

template<class TSample >
void itk::Statistics::ExpectationMaximizationMixtureModelEstimator< 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::Object.

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::ExpectationMaximizationMixtureModelEstimator< TSample >::SetInitialProportions ( ProportionVectorType &  propotion  ) 

Set/Gets the initial proportion values. The size of proportion vector should be same as the number of component (or classes)

template<class TSample >
void itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::SetInitialProportions ( ProportionVectorType &  propotion  ) 

Set/Gets the initial proportion values. The size of proportion vector should be same as the number of component (or classes)

template<class TSample >
void itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::SetMaximumIteration ( int  numberOfIterations  ) 

Set/Gets the maximum number of iterations. When the optimization process reaches the maximum number of interations, even if the class parameters aren't converged, the optimization process stops.

template<class TSample >
void itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::SetMaximumIteration ( int  numberOfIterations  ) 

Set/Gets the maximum number of iterations. When the optimization process reaches the maximum number of interations, even if the class parameters aren't converged, the optimization process stops.

void itk::Object::SetMetaDataDictionary ( const MetaDataDictionary &  rhs  )  [inherited]
Returns:
Set the MetaDataDictionary
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::ExpectationMaximizationMixtureModelEstimator< TSample >::SetSample ( const TSample *  sample  ) 

Sets the target data that will be classified by this

template<class TSample >
void itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::SetSample ( const TSample *  sample  ) 

Sets the target data that will be classified by this

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

Decrease the reference count (release by another object).

Reimplemented from itk::LightObject.

template<class TSample >
void itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::Update (  ) 

Runs the optimization process.

template<class TSample >
void itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::Update (  ) 

Runs the optimization process.

template<class TSample >
bool itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::UpdateComponentParameters (  )  [protected]
template<class TSample >
bool itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::UpdateComponentParameters (  )  [protected]
template<class TSample >
bool itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::UpdateProportions (  )  [protected]
template<class TSample >
bool itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample >::UpdateProportions (  )  [protected]

Member Data Documentation

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

Number of uses of this object by other objects.

Definition at line 144 of file itkLightObject.h.

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

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 04:02:58 for ITK by doxygen 1.7.1 written by Dimitri van Heesch, © 1997-2000