itk::Statistics::GoodnessOfFitComponentBase< TInputSample > Class Template Reference

provides component (module) type specific functionalities for GoodnessOfFitMixtureModelCostFunction. More...

#include <itkGoodnessOfFitComponentBase.h>

Inheritance diagram for itk::Statistics::GoodnessOfFitComponentBase:

[legend]Collaboration diagram for itk::Statistics::GoodnessOfFitComponentBase< TInputSample >:

[legend]List of all members.

Public Types
typedef GoodnessOfFitComponentBase	Self
typedef Object	Superclass
typedef SmartPointer< Self >	Pointer
typedef SmartPointer< const Self >	ConstPointer
typedef TInputSample	InputSampleType
typedef TInputSample::MeasurementType	MeasurementType
typedef TInputSample::MeasurementVectorType	MeasurementVectorType
typedef Subsample< TInputSample >	ResampledSampleType
typedef Histogram< float, 1 >	HistogramType
typedef Array< double >	ParametersType
typedef FixedArray< double, itkGetStaticConstMacro(MeasurementVectorSize)	CenterType )
typedef Vector< double, itkGetStaticConstMacro(MeasurementVectorSize)	MeanType )
typedef double	RadiusType
typedef double	StandardDeviationType
Public Methods
virtual const char *	GetClassName () const
	itkStaticConstMacro (MeasurementVectorSize, unsigned int, TInputSample::MeasurementVectorSize)
virtual void	SetInputSample (TInputSample *sample)
TInputSample *	GetInputSample ()
virtual unsigned int	GetNumberOfParameters () const=0
virtual void	SetParameters (const ParametersType &parameters)
ParametersType *	GetParameters ()
void	SetUseExpectedHistogram (bool flag)
void	SetHistogramNumberOfBins (int numberOfBins)
int	GetHistogramNumberOfBins ()
void	SetHistogramUseEquiProbableBins (bool flag)
bool	GetHistogramUseEquiProbableBins ()
void	SetHistogramBinOverlap (double overlap)
double	GetHistogramBinOverlap ()
void	SetHistogramExtent (double extent)
double	GetHistogramExtent ()
virtual CenterType *	GetCenter ()=0
virtual RadiusType *	GetRadius ()=0
virtual MeanType *	GetMean ()=0
virtual RadiusType *	GetStandardDeviation ()=0
virtual void	CreateHistograms ()
virtual void	Resample ()
ResampledSampleType *	GetResampledSample ()
virtual unsigned int	GetResampledSampleSize ()
virtual void	CalculateProjectionAxes ()=0
virtual void	Project (int projectionAxisIndex)
virtual void	UpdateExpectedHistogram ()
double *	GetTotalObservedScale ()
virtual double	GetCumulativeProbability (double x) const=0
virtual double	GetProbabilityDensity (MeasurementVectorType &measurements) const=0
virtual double	GetProportion () const
HistogramType *	GetObservedHistogram ()
HistogramType *	GetExpectedHistogram ()
virtual void	PrintParameters (std::ostream &os) const=0
virtual ParametersType	GetFullParameters () const=0
Protected Types
typedef NeighborhoodSampler< TInputSample >	ResamplerType
typedef SampleToHistogramProjectionFilter< ResampledSampleType, float >	ProjectorType
typedef FixedArray< double, itkGetStaticConstMacro(MeasurementVectorSize)	ProjectionAxisType )
typedef FixedArray< ProjectionAxisType, itkGetStaticConstMacro(MeasurementVectorSize)	ProjectionAxisArrayType )
Protected Methods
	GoodnessOfFitComponentBase ()
virtual	~GoodnessOfFitComponentBase ()
virtual void	PrintSelf (std::ostream &os, Indent indent) const
ProjectionAxisArrayType *	GetProjectionAxes ()
virtual void	CreateEquiRangeBins ()
virtual void	CreateEquiProbableBins ()

---

Detailed Description

template<class TInputSample>
class itk::Statistics::GoodnessOfFitComponentBase< TInputSample >

provides component (module) type specific functionalities for GoodnessOfFitMixtureModelCostFunction.

This defines common iterfaces for each subclasses and provides common functionalities across different types of components (e.g. GaussianGoodnessOfFitComponent)

The primary role of a GoodnessOfFitComponent is to create an 1D histogram (called an observed histogram ) of the input sample after resampling the input using spherical kernel and projecting the resampled sample along base axes, and to create corresponding 1D histogram (expected histogram) that has the same histogram configuration as the observed histogram but has the expected frequencies from the given component parameters.

You can set up the two histograms' configuration by calling SetHistogramNumberOfBins, SetHistogramUseEquiProbableBins, SetHistogramBingOverlap, SetHistogramExtent. After you change the histogram configuration, call the CreateHistograms method to allocate histograms. If you set the UseExpectedHistogram flag to false by callsing SetUseExpectedHistogram(false), the CreateHistograms method won't create the expected histogram. The decision should be made by the GoodnessOfFitFunction object that will be plugged-in to the GoodnessOfFitMixtureModelCostFunction. So the method shouldn't be called manually.

This base class provides default implementations for the resampling and projection using helper classes (NeighborhoodSampler, SampleToHistogramProjectionFilter).

To determine the base axis, call the CalculateProjectionAxes method. each subclass should implement it.

Another group of functions includes probability function such as GetProbabilityDensity(MeasurementVectorType) multivariate probability density function of the subclass GetCumulativeProbability(MeasurementType) univariate cumulative probabilty function

To see how all this methods are used in order, take a look at the implementation of the GetValue method of the GoodnessOfFitMixtureModelCostFunction class.

See also:

GoodnessOfFitMixtureModelCostFunction, GoodnessOfFitFunctionBase, GaussianGoodnessOfFitComponent, NeighborhoodSampler, SampleToHistogramProjectionFilter

Definition at line 80 of file itkGoodnessOfFitComponentBase.h.

---

Member Typedef Documentation

template<class TInputSample> typedef FixedArray< double, itkGetStaticConstMacro(MeasurementVectorSize) itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::CenterType)

Reimplemented in itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >. Definition at line 109 of file itkGoodnessOfFitComponentBase.h.

template<class TInputSample> typedef SmartPointer< const Self > itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::ConstPointer

Reimplemented from itk::Object. Reimplemented in itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >. Definition at line 88 of file itkGoodnessOfFitComponentBase.h.

template<class TInputSample> typedef Histogram< float, 1 > itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::HistogramType

Histogram type that will be used for observed and expected histogram Definition at line 104 of file itkGoodnessOfFitComponentBase.h.

template<class TInputSample> typedef TInputSample itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::InputSampleType

Definition at line 93 of file itkGoodnessOfFitComponentBase.h.

template<class TInputSample> typedef Vector< double, itkGetStaticConstMacro(MeasurementVectorSize) itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::MeanType)

Reimplemented in itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >. Definition at line 110 of file itkGoodnessOfFitComponentBase.h.

template<class TInputSample> typedef TInputSample::MeasurementType itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::MeasurementType

Reimplemented in itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >. Definition at line 96 of file itkGoodnessOfFitComponentBase.h.

template<class TInputSample> typedef TInputSample::MeasurementVectorType itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::MeasurementVectorType

Reimplemented in itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >. Definition at line 97 of file itkGoodnessOfFitComponentBase.h.

template<class TInputSample> typedef Array< double > itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::ParametersType

Reimplemented in itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >. Definition at line 106 of file itkGoodnessOfFitComponentBase.h.

template<class TInputSample> typedef SmartPointer< Self > itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::Pointer

Reimplemented from itk::Object. Reimplemented in itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >. Definition at line 87 of file itkGoodnessOfFitComponentBase.h.

template<class TInputSample> typedef FixedArray< ProjectionAxisType, itkGetStaticConstMacro(MeasurementVectorSize) itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::ProjectionAxisArrayType) [protected]

projection axis array type. The type of output from CalculateProjectionAxis(). The number of projection axis are fixed equal to the number of components of a measurement vector Reimplemented in itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >. Definition at line 211 of file itkGoodnessOfFitComponentBase.h.

template<class TInputSample> typedef FixedArray< double, itkGetStaticConstMacro(MeasurementVectorSize) itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::ProjectionAxisType) [protected]

projection axis array type. The type of output from CalculateProjectionAxis(). The number of projection axis are fixed equal to the number of components of a measurement vector Definition at line 208 of file itkGoodnessOfFitComponentBase.h.

template<class TInputSample> typedef SampleToHistogramProjectionFilter< ResampledSampleType, float > itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::ProjectorType [protected]

default projection filter type Definition at line 201 of file itkGoodnessOfFitComponentBase.h.

template<class TInputSample> typedef double itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::RadiusType

Reimplemented in itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >. Definition at line 111 of file itkGoodnessOfFitComponentBase.h.

template<class TInputSample> typedef Subsample< TInputSample > itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::ResampledSampleType

Resample() output type Reimplemented in itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >. Definition at line 100 of file itkGoodnessOfFitComponentBase.h.

template<class TInputSample> typedef NeighborhoodSampler< TInputSample > itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::ResamplerType [protected]

default resampler type and realted types Definition at line 197 of file itkGoodnessOfFitComponentBase.h.

template<class TInputSample> typedef GoodnessOfFitComponentBase itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::Self

Standard class typedefs Reimplemented from itk::Object. Reimplemented in itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >. Definition at line 85 of file itkGoodnessOfFitComponentBase.h.

template<class TInputSample> typedef double itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::StandardDeviationType

Reimplemented in itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >. Definition at line 112 of file itkGoodnessOfFitComponentBase.h.

template<class TInputSample> typedef Object itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::Superclass

Reimplemented from itk::Object. Reimplemented in itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >. Definition at line 86 of file itkGoodnessOfFitComponentBase.h.

---

Constructor & Destructor Documentation

template<class TInputSample> itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GoodnessOfFitComponentBase (    )  [protected]

template<class TInputSample> virtual itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::~GoodnessOfFitComponentBase (    )  [protected, virtual]

---

Member Function Documentation

template<class TInputSample> virtual void itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::CalculateProjectionAxes (    )  [pure virtual]

Implemented in itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >.

template<class TInputSample> virtual void itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::CreateEquiProbableBins (    )  [protected, virtual]

template<class TInputSample> virtual void itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::CreateEquiRangeBins (    )  [protected, virtual]

template<class TInputSample> virtual void itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::CreateHistograms (    )  [virtual]

template<class TInputSample> virtual CenterType* itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetCenter (    )  [pure virtual]

Implemented in itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >.

template<class TInputSample> virtual const char* itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetClassName (    )  const [virtual]

Run-time type information (and related methods). Reimplemented from itk::Object. Reimplemented in itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >.

template<class TInputSample> virtual double itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetCumulativeProbability (  double    x )  const [pure virtual]

Implemented in itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >.

template<class TInputSample> HistogramType* itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetExpectedHistogram (    )

template<class TInputSample> virtual ParametersType itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetFullParameters (    )  const [pure virtual]

Implemented in itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >.

template<class TInputSample> double itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetHistogramBinOverlap (    )  [inline]

Definition at line 139 of file itkGoodnessOfFitComponentBase.h.

template<class TInputSample> double itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetHistogramExtent (    )  [inline]

Definition at line 144 of file itkGoodnessOfFitComponentBase.h.

template<class TInputSample> int itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetHistogramNumberOfBins (    )  [inline]

Definition at line 129 of file itkGoodnessOfFitComponentBase.h.

template<class TInputSample> bool itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetHistogramUseEquiProbableBins (    )  [inline]

Definition at line 134 of file itkGoodnessOfFitComponentBase.h.

template<class TInputSample> TInputSample* itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetInputSample (    )

template<class TInputSample> virtual MeanType* itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetMean (    )  [pure virtual]

Implemented in itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >.

template<class TInputSample> virtual unsigned int itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetNumberOfParameters (    )  const [pure virtual]

Implemented in itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >.

template<class TInputSample> HistogramType* itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetObservedHistogram (    )

accessing methods for the projected sample

template<class TInputSample> ParametersType* itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetParameters (  void    )  [inline]

Definition at line 122 of file itkGoodnessOfFitComponentBase.h.

template<class TInputSample> virtual double itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetProbabilityDensity (  MeasurementVectorType &    measurements )  const [pure virtual]

Implemented in itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >.

template<class TInputSample> ProjectionAxisArrayType* itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetProjectionAxes (    )  [inline, protected]

Definition at line 214 of file itkGoodnessOfFitComponentBase.h.

template<class TInputSample> virtual double itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetProportion (    )  const [inline, virtual]

Definition at line 179 of file itkGoodnessOfFitComponentBase.h.

template<class TInputSample> virtual RadiusType* itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetRadius (    )  [pure virtual]

Implemented in itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >.

template<class TInputSample> ResampledSampleType* itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetResampledSample (    )  [inline]

Definition at line 159 of file itkGoodnessOfFitComponentBase.h.

template<class TInputSample> virtual unsigned int itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetResampledSampleSize (    )  [virtual]

template<class TInputSample> virtual RadiusType* itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetStandardDeviation (    )  [pure virtual]

Implemented in itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >.

template<class TInputSample> double* itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetTotalObservedScale (    )  [inline]

Definition at line 170 of file itkGoodnessOfFitComponentBase.h.

template<class TInputSample> itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::itkStaticConstMacro (  MeasurementVectorSize   , unsigned    int, TInputSample::MeasurementVectorSize    )

Reimplemented in itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >.

template<class TInputSample> virtual void itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::PrintParameters (  std::ostream &    os )  const [pure virtual]

Implemented in itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >.

template<class TInputSample> virtual void itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::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 TInputSample> virtual void itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::Project (  int    projectionAxisIndex )  [virtual]

template<class TInputSample> virtual void itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::Resample (    )  [virtual]

template<class TInputSample> void itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::SetHistogramBinOverlap (  double    overlap )

template<class TInputSample> void itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::SetHistogramExtent (  double    extent )

template<class TInputSample> void itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::SetHistogramNumberOfBins (  int    numberOfBins )

template<class TInputSample> void itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::SetHistogramUseEquiProbableBins (  bool    flag )

template<class TInputSample> virtual void itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::SetInputSample (  TInputSample *    sample )  [virtual]

template<class TInputSample> virtual void itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::SetParameters (  const ParametersType &    parameters )  [virtual]

Reimplemented in itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >.

template<class TInputSample> void itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::SetUseExpectedHistogram (  bool    flag )

template<class TInputSample> virtual void itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::UpdateExpectedHistogram (    )  [virtual]

---

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

• itkGoodnessOfFitComponentBase.h

---