#include <itkMahalanobisDistanceMetric.h>

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

Collaboration diagram for itk::Statistics::MahalanobisDistanceMetric< TVector >:

Detailed Description

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

MahalanobisDistanceMetric class computes a Mahalanobis distance given a mean and covariance.

See Also: DistanceMetric; EuclideanDistanceMetric; EuclideanSquareDistanceMetric

Definition at line 46 of file itkMahalanobisDistanceMetric.h.

Public Types
typedef SmartPointer< const Self >	ConstPointer

typedef vnl_matrix< double >	CovarianceMatrixType

typedef Superclass::OriginType	MeanVectorType

typedef Superclass::MeasurementVectorSizeType	MeasurementVectorSizeType

typedef Superclass::MeasurementVectorType	MeasurementVectorType

typedef SmartPointer< Self >	Pointer

typedef MahalanobisDistanceMetric	Self

typedef DistanceMetric< TVector >	Superclass

Public Types inherited from itk::Statistics::DistanceMetric< TVector >
typedef SmartPointer< const Self >	ConstPointer

typedef unsigned int	MeasurementVectorSizeType

typedef TVector	MeasurementVectorType

typedef Array< double >	OriginType

typedef SmartPointer< Self >	Pointer

typedef DistanceMetric	Self

typedef FunctionBase< TVector, double >	Superclass

Public Types inherited from itk::FunctionBase< TVector, double >
typedef SmartPointer< const Self >	ConstPointer

typedef TVector	InputType

typedef double	OutputType

typedef SmartPointer< Self >	Pointer

typedef FunctionBase	Self

typedef Object	Superclass

Public Types inherited from itk::Object
typedef SmartPointer< const Self >	ConstPointer

typedef SmartPointer< Self >	Pointer

typedef Object	Self

typedef LightObject	Superclass

Public Types inherited from itk::LightObject
typedef SmartPointer< const Self >	ConstPointer

typedef SmartPointer< Self >	Pointer

typedef LightObject	Self

Public Member Functions
double	Evaluate (const MeasurementVectorType &measurement) const

double	Evaluate (const MeasurementVectorType &x1, const MeasurementVectorType &x2) const

virtual const CovarianceMatrixType &	GetCovariance ()

virtual double	GetDoubleMax () const

virtual const CovarianceMatrixType &	GetInverseCovariance ()

const MeanVectorType &	GetMean () const

void	SetCovariance (const CovarianceMatrixType &cov)

virtual void	SetDoubleMax (double _arg)

void	SetInverseCovariance (const CovarianceMatrixType &invcov)

void	SetMean (const MeanVectorType &mean)

virtual void	SetMeasurementVectorSize (MeasurementVectorSizeType)


virtual void	SetEpsilon (double _arg)

virtual double	GetEpsilon () const

Public Member Functions inherited from itk::Statistics::DistanceMetric< TVector >
virtual MeasurementVectorSizeType	GetMeasurementVectorSize () const

virtual const OriginType &	GetOrigin ()

void	SetOrigin (const OriginType &x)

Protected Member Functions
	MahalanobisDistanceMetric (void)

void	PrintSelf (std::ostream &os, Indent indent) const

virtual	~MahalanobisDistanceMetric (void)

Protected Member Functions inherited from itk::Statistics::DistanceMetric< TVector >
	DistanceMetric ()

virtual	~DistanceMetric ()

Protected Member Functions inherited from itk::FunctionBase< TVector, double >
	FunctionBase ()

	~FunctionBase ()

Protected Member Functions inherited from itk::Object
	Object ()

bool	PrintObservers (std::ostream &os, Indent indent) const

virtual void	SetTimeStamp (const TimeStamp &time)

virtual	~Object ()

Protected Member Functions inherited from itk::LightObject
virtual LightObject::Pointer	InternalClone () const

	LightObject ()

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

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

virtual	~LightObject ()

Private Member Functions
void	CalculateInverseCovariance ()

Private Attributes
CovarianceMatrixType	m_Covariance

double	m_DoubleMax

double	m_Epsilon

CovarianceMatrixType	m_InverseCovariance

MeanVectorType	m_Mean

virtual const char *	GetNameOfClass () const

virtual ::itk::LightObject::Pointer	CreateAnother (void) const

static Pointer	New ()

Additional Inherited Members
Static Public Member Functions inherited from itk::Object
static bool	GetGlobalWarningDisplay ()

static void	GlobalWarningDisplayOff ()

static void	GlobalWarningDisplayOn ()

static Pointer	New ()

static void	SetGlobalWarningDisplay (bool flag)

Protected Types inherited from itk::LightObject
typedef int	InternalReferenceCountType

Protected Attributes inherited from itk::LightObject
InternalReferenceCountType	m_ReferenceCount

SimpleFastMutexLock	m_ReferenceCountLock

Member Typedef Documentation

template<class TVector >

typedef SmartPointer< const Self > itk::Statistics::MahalanobisDistanceMetric< TVector >::ConstPointer

Definition at line 54 of file itkMahalanobisDistanceMetric.h.

template<class TVector >

typedef vnl_matrix< double > itk::Statistics::MahalanobisDistanceMetric< TVector >::CovarianceMatrixType

Type used for representing the covariance matrix

Definition at line 71 of file itkMahalanobisDistanceMetric.h.

template<class TVector >

typedef Superclass::OriginType itk::Statistics::MahalanobisDistanceMetric< TVector >::MeanVectorType

Type used for representing the mean vector

Definition at line 68 of file itkMahalanobisDistanceMetric.h.

template<class TVector >

typedef Superclass::MeasurementVectorSizeType itk::Statistics::MahalanobisDistanceMetric< TVector >::MeasurementVectorSizeType

Typedef to represent the length of measurement vectors

Definition at line 65 of file itkMahalanobisDistanceMetric.h.

template<class TVector >

typedef Superclass::MeasurementVectorType itk::Statistics::MahalanobisDistanceMetric< TVector >::MeasurementVectorType

Typedef to represent the measurement vector type

Definition at line 58 of file itkMahalanobisDistanceMetric.h.

template<class TVector >

typedef SmartPointer< Self > itk::Statistics::MahalanobisDistanceMetric< TVector >::Pointer

Definition at line 53 of file itkMahalanobisDistanceMetric.h.

template<class TVector >

typedef MahalanobisDistanceMetric itk::Statistics::MahalanobisDistanceMetric< TVector >::Self

Standard class typedefs

Definition at line 51 of file itkMahalanobisDistanceMetric.h.

template<class TVector >

typedef DistanceMetric< TVector > itk::Statistics::MahalanobisDistanceMetric< TVector >::Superclass

Definition at line 52 of file itkMahalanobisDistanceMetric.h.

Constructor & Destructor Documentation

template<class TVector >

itk::Statistics::MahalanobisDistanceMetric< TVector >::MahalanobisDistanceMetric ( void )

protected

template<class TVector >

virtual itk::Statistics::MahalanobisDistanceMetric< TVector >::~MahalanobisDistanceMetric ( void )

inlineprotectedvirtual

Definition at line 116 of file itkMahalanobisDistanceMetric.h.

Member Function Documentation

template<class TVector >

void itk::Statistics::MahalanobisDistanceMetric< TVector >::CalculateInverseCovariance ( )

private

template<class TVector >

virtual::itk::LightObject::Pointer itk::Statistics::MahalanobisDistanceMetric< TVector >::CreateAnother ( void ) const

virtual

Strandard macros

Reimplemented from itk::Object.

template<class TVector >

double itk::Statistics::MahalanobisDistanceMetric< TVector >::Evaluate ( const MeasurementVectorType & measurement ) const

virtual

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

Implements itk::Statistics::DistanceMetric< TVector >.

template<class TVector >

double itk::Statistics::MahalanobisDistanceMetric< TVector >::Evaluate	(	const MeasurementVectorType &	x1,
		const MeasurementVectorType &	x2
	)		const

virtual

Gets the distance between x1 and x2.

Implements itk::Statistics::DistanceMetric< TVector >.

template<class TVector >

virtual const CovarianceMatrixType& itk::Statistics::MahalanobisDistanceMetric< TVector >::GetCovariance ( )

virtual

Method to get covariance matrix

template<class TVector >

virtual double itk::Statistics::MahalanobisDistanceMetric< TVector >::GetDoubleMax ( ) const

virtual

template<class TVector >

virtual double itk::Statistics::MahalanobisDistanceMetric< TVector >::GetEpsilon ( ) const

virtual

Set/Get tolerance values

template<class TVector >

virtual const CovarianceMatrixType& itk::Statistics::MahalanobisDistanceMetric< TVector >::GetInverseCovariance ( )

virtual

Method to get covariance matrix

template<class TVector >

const MeanVectorType& itk::Statistics::MahalanobisDistanceMetric< TVector >::GetMean ( ) const

Method to get mean

template<class TVector >

virtual const char* itk::Statistics::MahalanobisDistanceMetric< TVector >::GetNameOfClass ( ) const

virtual

Strandard macros

Reimplemented from itk::Statistics::DistanceMetric< TVector >.

template<class TVector >

static Pointer itk::Statistics::MahalanobisDistanceMetric< TVector >::New ( )

static

Strandard macros

template<class TVector >

void itk::Statistics::MahalanobisDistanceMetric< TVector >::PrintSelf	(	std::ostream &	os,
		Indent	indent
	)		const

protectedvirtual

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::DistanceMetric< TVector >.

template<class TVector >

void itk::Statistics::MahalanobisDistanceMetric< 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 >

virtual void itk::Statistics::MahalanobisDistanceMetric< TVector >::SetDoubleMax ( double _arg )

virtual

template<class TVector >

virtual void itk::Statistics::MahalanobisDistanceMetric< TVector >::SetEpsilon ( double _arg )

virtual

Set/Get tolerance values

template<class TVector >

void itk::Statistics::MahalanobisDistanceMetric< TVector >::SetInverseCovariance ( const CovarianceMatrixType & invcov )

Method to set inverse covariance matrix

template<class TVector >

void itk::Statistics::MahalanobisDistanceMetric< TVector >::SetMean ( const MeanVectorType & mean )