itk::Statistics::GaussianDensityFunction< TMeasurementVector > Class Template Reference

GaussianDensityFunction class represents Gaussian Density Function. More...

#include <itkGaussianDensityFunction.h>

Inheritance diagram for itk::Statistics::GaussianDensityFunction< TMeasurementVector >:

[legend]Collaboration diagram for itk::Statistics::GaussianDensityFunction< TMeasurementVector >:

[legend]List of all members.

[NOHEADER]
virtual const char *	GetNameOfClass () const
Pointer	New ()
[NOHEADER]
void	SetMean (const MeanType *mean)
const MeanType *	GetMean () const
void	SetCovariance (const CovarianceType *cov)
const CovarianceType *	GetCovariance () const
double	Evaluate (const MeasurementVectorType &measurement) const
	GaussianDensityFunction (void)
virtual	~GaussianDensityFunction (void)
void	PrintSelf (std::ostream &os, Indent indent) const
Public Types
typedef GaussianDensityFunction	Self
typedef DensityFunction< TMeasurementVector >	Superclass
typedef SmartPointer< Self >	Pointer
typedef SmartPointer< const Self >	ConstPointer
typedef TMeasurementVector	MeasurementVectorType
typedef Superclass::MeasurementVectorSizeType	MeasurementVectorSizeType
typedef Array< double >	MeanType
typedef VariableSizeMatrix< double >	CovarianceType

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Detailed Description

template<class TMeasurementVector>
class itk::Statistics::GaussianDensityFunction< TMeasurementVector >

GaussianDensityFunction class represents Gaussian Density Function.

This class keeps parameter to define Gaussian Density Function and has method to return the probability density of an instance (pattern) . If the all element of the covariance matrix is zero the "usual" density calculations ignored. if the measurement vector to be evaluated is equal to the mean, then the Evaluate method will return maximum value of double and return 0 for others

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. The typedef for the Mean has changed from FixedArray to Array. The typedef for the covariance matrix has changed from Matrix to VariableSizeMatrix.

Definition at line 55 of file itkGaussianDensityFunction.h.

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Member Typedef Documentation

template<class TMeasurementVector> typedef SmartPointer<const Self> itk::Statistics::GaussianDensityFunction< TMeasurementVector >::ConstPointer

Reimplemented from itk::Statistics::DensityFunction< TMeasurementVector >. Definition at line 63 of file itkGaussianDensityFunction.h.

template<class TMeasurementVector> typedef VariableSizeMatrix< double > itk::Statistics::GaussianDensityFunction< TMeasurementVector >::CovarianceType

Type of the covariance matrix Definition at line 80 of file itkGaussianDensityFunction.h. Referenced by itk::Statistics::GaussianDensityFunction< TMeasurementVector >::GetMean(), and itk::Statistics::GaussianDensityFunction< TMeasurementVector >::~GaussianDensityFunction().

template<class TMeasurementVector> typedef Array< double > itk::Statistics::GaussianDensityFunction< TMeasurementVector >::MeanType

Type of the mean vector Definition at line 77 of file itkGaussianDensityFunction.h. Referenced by itk::Statistics::GaussianDensityFunction< TMeasurementVector >::~GaussianDensityFunction().

template<class TMeasurementVector> typedef Superclass::MeasurementVectorSizeType itk::Statistics::GaussianDensityFunction< TMeasurementVector >::MeasurementVectorSizeType

Length of each measurement vector Reimplemented from itk::Statistics::DensityFunction< TMeasurementVector >. Definition at line 74 of file itkGaussianDensityFunction.h.

template<class TMeasurementVector> typedef TMeasurementVector itk::Statistics::GaussianDensityFunction< TMeasurementVector >::MeasurementVectorType

Typedef alias for the measurement vectors Definition at line 71 of file itkGaussianDensityFunction.h. Referenced by itk::Statistics::GaussianDensityFunction< TMeasurementVector >::GetMean().

template<class TMeasurementVector> typedef SmartPointer<Self> itk::Statistics::GaussianDensityFunction< TMeasurementVector >::Pointer

Reimplemented from itk::Statistics::DensityFunction< TMeasurementVector >. Definition at line 62 of file itkGaussianDensityFunction.h.

template<class TMeasurementVector> typedef GaussianDensityFunction itk::Statistics::GaussianDensityFunction< TMeasurementVector >::Self

Standard class typedefs Reimplemented from itk::Statistics::DensityFunction< TMeasurementVector >. Definition at line 60 of file itkGaussianDensityFunction.h.

template<class TMeasurementVector> typedef DensityFunction< TMeasurementVector > itk::Statistics::GaussianDensityFunction< TMeasurementVector >::Superclass

Reimplemented from itk::Statistics::DensityFunction< TMeasurementVector >. Definition at line 61 of file itkGaussianDensityFunction.h.

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Constructor & Destructor Documentation

template<class TMeasurementVector> itk::Statistics::GaussianDensityFunction< TMeasurementVector >::GaussianDensityFunction (  void   )  [protected]

Sets the mean

template<class TMeasurementVector> virtual itk::Statistics::GaussianDensityFunction< TMeasurementVector >::~GaussianDensityFunction (  void   )  [inline, protected, virtual]

Sets the mean Definition at line 120 of file itkGaussianDensityFunction.h. References itk::Statistics::GaussianDensityFunction< TMeasurementVector >::CovarianceType, and itk::Statistics::GaussianDensityFunction< TMeasurementVector >::MeanType.

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Member Function Documentation

template<class TMeasurementVector> double itk::Statistics::GaussianDensityFunction< TMeasurementVector >::Evaluate (  const MeasurementVectorType &  measurement  )  const

Gets the probability density of a measurement vector.

template<class TMeasurementVector> const CovarianceType* itk::Statistics::GaussianDensityFunction< TMeasurementVector >::GetCovariance (   )  const

Gets the covariance matrix

template<class TMeasurementVector> const MeanType* itk::Statistics::GaussianDensityFunction< TMeasurementVector >::GetMean (  void   )  const [inline]

Gets the mean Definition at line 104 of file itkGaussianDensityFunction.h. References itk::Statistics::GaussianDensityFunction< TMeasurementVector >::CovarianceType, and itk::Statistics::GaussianDensityFunction< TMeasurementVector >::MeasurementVectorType.

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

Strandard macros Reimplemented from itk::Statistics::DensityFunction< TMeasurementVector >.

template<class TMeasurementVector> Pointer itk::Statistics::GaussianDensityFunction< TMeasurementVector >::New (   )  [static]

Strandard macros Reimplemented from itk::Object.

template<class TMeasurementVector> void itk::Statistics::GaussianDensityFunction< TMeasurementVector >::PrintSelf (  std::ostream &  os, Indent  indent )  const [protected, virtual]

Sets the mean Reimplemented from itk::Statistics::DensityFunction< TMeasurementVector >.

template<class TMeasurementVector> void itk::Statistics::GaussianDensityFunction< TMeasurementVector >::SetCovariance (  const CovarianceType *  cov  )

Sets the covariance matrix. Also, this function calculates inverse covariance and pre factor of Gaussian Distribution to speed up GetProbability

template<class TMeasurementVector> void itk::Statistics::GaussianDensityFunction< TMeasurementVector >::SetMean (  const MeanType *  mean  )  [inline]

Sets the mean Definition at line 83 of file itkGaussianDensityFunction.h. References itk::Array< double >::Size().

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

• itkGaussianDensityFunction.h

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