itk::Statistics::MahalanobisDistanceMembershipFunction< TVector > Class Template Reference

MahalanobisDistanceMembershipFunction class represents MahalanobisDistance Density Function. More...

#include <itkMahalanobisDistanceMembershipFunction.h>

Inheritance diagram for itk::Statistics::MahalanobisDistanceMembershipFunction< TVector >:

[legend]Collaboration diagram for itk::Statistics::MahalanobisDistanceMembershipFunction< TVector >:

[legend]List of all members.

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virtual const char *	GetClassName () const
Pointer	New ()
Public Types
typedef MahalanobisDistanceMembershipFunction	Self
typedef MembershipFunctionBase< TVector >	Superclass
typedef SmartPointer< Self >	Pointer
typedef SmartPointer< const Self >	ConstPointer
typedef TVector	MeasurementVectorType
typedef vnl_vector< double >	MeanVectorType
typedef vnl_matrix< double >	CovarianceMatrixType
Public Member Functions
void	SetMean (const MeanVectorType &mean)
const MeanVectorType &	GetMean () const
void	SetCovariance (const CovarianceMatrixType &cov)
virtual const CovarianceMatrixType &	GetCovariance ()
void	SetInverseCovariance (const CovarianceMatrixType &invcov)
virtual const CovarianceMatrixType &	GetInverseCovariance ()
virtual void	SetNumberOfSamples (double _arg)
virtual double	GetNumberOfSamples ()
double	Evaluate (const MeasurementVectorType &measurement) const
Protected Member Functions
	MahalanobisDistanceMembershipFunction (void)
virtual	~MahalanobisDistanceMembershipFunction (void)
void	PrintSelf (std::ostream &os, Indent indent) const

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Detailed Description

template<class TVector>
class itk::Statistics::MahalanobisDistanceMembershipFunction< TVector >

MahalanobisDistanceMembershipFunction class represents MahalanobisDistance Density Function.

This class keeps parameter to define MahalanobisDistance Density Function and has method to return the probability density of an instance. MeasurementVectorSize is the dimension of measurement space. double is type of measurement.

Definition at line 43 of file itkMahalanobisDistanceMembershipFunction.h.

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Member Typedef Documentation

template<class TVector> typedef SmartPointer<const Self> itk::Statistics::MahalanobisDistanceMembershipFunction< TVector >::ConstPointer

Reimplemented from itk::Statistics::MembershipFunctionBase< TVector >. Definition at line 51 of file itkMahalanobisDistanceMembershipFunction.h.

template<class TVector> typedef vnl_matrix<double> itk::Statistics::MahalanobisDistanceMembershipFunction< TVector >::CovarianceMatrixType

Type used for representing the covariance matrix Definition at line 65 of file itkMahalanobisDistanceMembershipFunction.h. Referenced by itk::Statistics::MahalanobisDistanceMembershipFunction< TVector >::~MahalanobisDistanceMembershipFunction().

template<class TVector> typedef vnl_vector<double> itk::Statistics::MahalanobisDistanceMembershipFunction< TVector >::MeanVectorType

Type used for representing the mean vector Definition at line 62 of file itkMahalanobisDistanceMembershipFunction.h. Referenced by itk::Statistics::MahalanobisDistanceMembershipFunction< TVector >::~MahalanobisDistanceMembershipFunction().

template<class TVector> typedef TVector itk::Statistics::MahalanobisDistanceMembershipFunction< TVector >::MeasurementVectorType

Typedef alias for the measurement vectors Definition at line 59 of file itkMahalanobisDistanceMembershipFunction.h.

template<class TVector> typedef SmartPointer<Self> itk::Statistics::MahalanobisDistanceMembershipFunction< TVector >::Pointer

Reimplemented from itk::Statistics::MembershipFunctionBase< TVector >. Definition at line 50 of file itkMahalanobisDistanceMembershipFunction.h.

template<class TVector> typedef MahalanobisDistanceMembershipFunction itk::Statistics::MahalanobisDistanceMembershipFunction< TVector >::Self

Standard class typedefs Reimplemented from itk::Statistics::MembershipFunctionBase< TVector >. Definition at line 48 of file itkMahalanobisDistanceMembershipFunction.h.

template<class TVector> typedef MembershipFunctionBase< TVector > itk::Statistics::MahalanobisDistanceMembershipFunction< TVector >::Superclass

Reimplemented from itk::Statistics::MembershipFunctionBase< TVector >. Definition at line 49 of file itkMahalanobisDistanceMembershipFunction.h.

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Constructor & Destructor Documentation

template<class TVector> itk::Statistics::MahalanobisDistanceMembershipFunction< TVector >::MahalanobisDistanceMembershipFunction (  void   )  [protected]

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

Definition at line 104 of file itkMahalanobisDistanceMembershipFunction.h. References itk::Statistics::MahalanobisDistanceMembershipFunction< TVector >::CovarianceMatrixType, and itk::Statistics::MahalanobisDistanceMembershipFunction< TVector >::MeanVectorType.

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Member Function Documentation

template<class TVector> double itk::Statistics::MahalanobisDistanceMembershipFunction< TVector >::Evaluate (  const MeasurementVectorType &  measurement  )  const

Method to get probability of an instance. The return value is the value of the density function, not probability.

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

Strandard macros Reimplemented from itk::Statistics::MembershipFunctionBase< TVector >.

template<class TVector> virtual const CovarianceMatrixType& itk::Statistics::MahalanobisDistanceMembershipFunction< TVector >::GetCovariance (   )  [virtual]

Method to get covariance matrix

template<class TVector> virtual const CovarianceMatrixType& itk::Statistics::MahalanobisDistanceMembershipFunction< TVector >::GetInverseCovariance (   )  [virtual]

Method to get covariance matrix

template<class TVector> const MeanVectorType& itk::Statistics::MahalanobisDistanceMembershipFunction< TVector >::GetMean (   )  const

Method to get mean

template<class TVector> virtual double itk::Statistics::MahalanobisDistanceMembershipFunction< TVector >::GetNumberOfSamples (   )  [virtual]

Method to get the number of samples

template<class TVector> Pointer itk::Statistics::MahalanobisDistanceMembershipFunction< TVector >::New (   )  [static]

Strandard macros Reimplemented from itk::Object.

template<class TVector> void itk::Statistics::MahalanobisDistanceMembershipFunction< TVector >::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::MembershipFunctionBase< TVector >.

template<class TVector> void itk::Statistics::MahalanobisDistanceMembershipFunction< TVector >::SetCovariance (  const CovarianceMatrixType &  cov  )

Method to set covariance matrix Also, this function calculates inverse covariance and pre factor of MahalanobisDistance Distribution to speed up GetProbability

template<class TVector> void itk::Statistics::MahalanobisDistanceMembershipFunction< TVector >::SetInverseCovariance (  const CovarianceMatrixType &  invcov  )

Method to set covariance matrix Also, this function calculates inverse covariance and pre factor of MahalanobisDistance Distribution to speed up GetProbability

template<class TVector> void itk::Statistics::MahalanobisDistanceMembershipFunction< TVector >::SetMean (  const MeanVectorType &  mean  )

Method to set mean

template<class TVector> virtual void itk::Statistics::MahalanobisDistanceMembershipFunction< TVector >::SetNumberOfSamples (  double  _arg  )  [virtual]

Method to set the number of samples

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

• itkMahalanobisDistanceMembershipFunction.h

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