#include <itkMahalanobisDistanceMembershipFunction.h>

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

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

Public Types
using	ConstPointer = SmartPointer< const Self >

using	Pointer = SmartPointer< Self >

using	Self = MahalanobisDistanceMembershipFunction

using	Superclass = MembershipFunctionBase< TVector >

Public Types inherited from itk::Statistics::MembershipFunctionBase< TVector >
using	ConstPointer = SmartPointer< const Self >

using	MeasurementVectorSizeType = unsigned int

using	MeasurementVectorType = TVector

using	Pointer = SmartPointer< Self >

using	Self = MembershipFunctionBase

using	Superclass = FunctionBase< TVector, double >

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

using	InputType = TVector

using	OutputType = double

using	Pointer = SmartPointer< Self >

using	Self = FunctionBase

using	Superclass = Object

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

using	Pointer = SmartPointer< Self >

using	Self = Object

using	Superclass = LightObject

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

using	Pointer = SmartPointer< Self >

using	Self = LightObject

using	MembershipFunctionPointer = typename Superclass::Pointer

using	MeasurementVectorType = TVector

using	MeasurementVectorSizeType = typename Superclass::MeasurementVectorSizeType

using	MeasurementVectorRealType = typename itk::NumericTraits< MeasurementVectorType >::RealType

using	MeanVectorType = MeasurementVectorRealType

using	CovarianceMatrixType = VariableSizeMatrix< double >

MeanVectorType	m_Mean

CovarianceMatrixType	m_Covariance

CovarianceMatrixType	m_InverseCovariance

bool	m_CovarianceNonsingular

virtual const char *	GetNameOfClass () const

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

void	SetMean (const MeanVectorType &mean)

virtual const MeanVectorType &	GetMean () const

void	SetCovariance (const CovarianceMatrixType &cov)

virtual const CovarianceMatrixType &	GetCovariance () const

double	Evaluate (const MeasurementVectorType &measurement) const override

LightObject::Pointer	InternalClone () const override

static Pointer	New ()

	MahalanobisDistanceMembershipFunction ()

	~MahalanobisDistanceMembershipFunction () override=default

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

Additional Inherited Members
Public Member Functions inherited from itk::Statistics::MembershipFunctionBase< TVector >
virtual MeasurementVectorSizeType	GetMeasurementVectorSize () const

virtual void	SetMeasurementVectorSize (MeasurementVectorSizeType s)

Public Member Functions inherited from itk::Object
unsigned long	AddObserver (const EventObject &event, Command *)

unsigned long	AddObserver (const EventObject &event, Command *) const

unsigned long	AddObserver (const EventObject &event, std::function< void(const EventObject &)> function) const

virtual void	DebugOff () const

virtual void	DebugOn () const

Command *	GetCommand (unsigned long tag)

bool	GetDebug () const

MetaDataDictionary &	GetMetaDataDictionary ()

const MetaDataDictionary &	GetMetaDataDictionary () const

virtual ModifiedTimeType	GetMTime () const

virtual const TimeStamp &	GetTimeStamp () const

bool	HasObserver (const EventObject &event) const

void	InvokeEvent (const EventObject &)

void	InvokeEvent (const EventObject &) const

virtual void	Modified () const

void	Register () const override

void	RemoveAllObservers ()

void	RemoveObserver (unsigned long tag)

void	SetDebug (bool debugFlag) const

void	SetReferenceCount (int) override

void	UnRegister () const noexcept override

void	SetMetaDataDictionary (const MetaDataDictionary &rhs)

void	SetMetaDataDictionary (MetaDataDictionary &&rrhs)

virtual void	SetObjectName (std::string _arg)

virtual const std::string &	GetObjectName () const

Public Member Functions inherited from itk::LightObject
Pointer	Clone () const

virtual void	Delete ()

virtual int	GetReferenceCount () const

void	Print (std::ostream &os, Indent indent=0) const

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

static void	GlobalWarningDisplayOff ()

static void	GlobalWarningDisplayOn ()

static Pointer	New ()

static void	SetGlobalWarningDisplay (bool val)

Static Public Member Functions inherited from itk::LightObject
static void	BreakOnError ()

static Pointer	New ()

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

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

	~MembershipFunctionBase () override=default

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

	~FunctionBase () override=default

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

	~Object () override

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

virtual void	SetTimeStamp (const TimeStamp &timeStamp)

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

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

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

virtual	~LightObject ()

Protected Attributes inherited from itk::LightObject
std::atomic< int >	m_ReferenceCount

Detailed Description

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

MahalanobisDistanceMembershipFunction models class membership using Mahalanobis distance.

MahalanobisDistanceMembershipFunction is a subclass of MembershipFunctionBase that models class membership (or likelihood) using the Mahalanobis distance. The mean and covariance structure of the Mahalanobis distance are established using the methods SetMean() and SetCovariance(). The mean is a vector-type that is the same vector-type as the measurement vector but guaranteed to have a real element type. For instance, if the measurement type is an Vector<int,3>, then the mean is Vector<double,3>. If the measurement type is a VariableLengthVector<float>, then the mean is VariableLengthVector<double>. In contrast to this behavior, the covariance is always a VariableSizeMatrix<double>.

Note that this membership function does not return a probability density function in contrast to the GaussianMembershipFunction.

Note, as is the case in other packages (MATLAB, R), the value returned by this membership function is the squared distance.

If the covariance is singular or nearly singular, the membership function behaves somewhat like (the opposite of) an impulse located at the mean. In this case, we specify the covariance to be a diagonal matrix with large values along the diagonal. This membership function, therefore, will return large but differentiable values everywhere and decay to zero sharply near the mean.

Definition at line 62 of file itkMahalanobisDistanceMembershipFunction.h.

Member Typedef Documentation

◆ ConstPointer

template<typename TVector >

using itk::Statistics::MahalanobisDistanceMembershipFunction< TVector >::ConstPointer = SmartPointer<const Self>

Definition at line 69 of file itkMahalanobisDistanceMembershipFunction.h.

◆ CovarianceMatrixType

template<typename TVector >

using itk::Statistics::MahalanobisDistanceMembershipFunction< TVector >::CovarianceMatrixType = VariableSizeMatrix<double>

Type of the covariance matrix

Definition at line 91 of file itkMahalanobisDistanceMembershipFunction.h.

◆ MeanVectorType

template<typename TVector >

using itk::Statistics::MahalanobisDistanceMembershipFunction< TVector >::MeanVectorType = MeasurementVectorRealType

SmartPointer class for superclass

Definition at line 88 of file itkMahalanobisDistanceMembershipFunction.h.

◆ MeasurementVectorRealType

template<typename TVector >

using itk::Statistics::MahalanobisDistanceMembershipFunction< TVector >::MeasurementVectorRealType = typename itk::NumericTraits<MeasurementVectorType>::RealType

Type of the mean vector. RealType on a vector-type is the same vector-type but with a real element type.

Definition at line 87 of file itkMahalanobisDistanceMembershipFunction.h.

◆ MeasurementVectorSizeType

template<typename TVector >

using itk::Statistics::MahalanobisDistanceMembershipFunction< TVector >::MeasurementVectorSizeType = typename Superclass::MeasurementVectorSizeType

Typedef to represent the length of measurement vectors

Definition at line 83 of file itkMahalanobisDistanceMembershipFunction.h.

◆ MeasurementVectorType

template<typename TVector >

using itk::Statistics::MahalanobisDistanceMembershipFunction< TVector >::MeasurementVectorType = TVector

Typedef alias for the measurement vectors

Definition at line 80 of file itkMahalanobisDistanceMembershipFunction.h.

◆ MembershipFunctionPointer

template<typename TVector >

using itk::Statistics::MahalanobisDistanceMembershipFunction< TVector >::MembershipFunctionPointer = typename Superclass::Pointer

SmartPointer class for superclass

Definition at line 77 of file itkMahalanobisDistanceMembershipFunction.h.

◆ Pointer

template<typename TVector >

using itk::Statistics::MahalanobisDistanceMembershipFunction< TVector >::Pointer = SmartPointer<Self>

Definition at line 68 of file itkMahalanobisDistanceMembershipFunction.h.

◆ Self

template<typename TVector >

using itk::Statistics::MahalanobisDistanceMembershipFunction< TVector >::Self = MahalanobisDistanceMembershipFunction

Standard class type aliases

Definition at line 66 of file itkMahalanobisDistanceMembershipFunction.h.

◆ Superclass

template<typename TVector >

using itk::Statistics::MahalanobisDistanceMembershipFunction< TVector >::Superclass = MembershipFunctionBase<TVector>

Definition at line 67 of file itkMahalanobisDistanceMembershipFunction.h.

Constructor & Destructor Documentation

◆ MahalanobisDistanceMembershipFunction()

template<typename TVector >

itk::Statistics::MahalanobisDistanceMembershipFunction< TVector >::MahalanobisDistanceMembershipFunction ( )

protected

SmartPointer class for superclass

◆ ~MahalanobisDistanceMembershipFunction()

template<typename TVector >

itk::Statistics::MahalanobisDistanceMembershipFunction< TVector >::~MahalanobisDistanceMembershipFunction ( )

overrideprotecteddefault

SmartPointer class for superclass

Member Function Documentation

◆ CreateAnother()

template<typename TVector >

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

virtual

SmartPointer class for superclass

Reimplemented from itk::Object.

◆ Evaluate()

template<typename TVector >

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

overridevirtual

Evaluate the Mahalanobis distance of a measurement using the prescribed mean and covariance. Note that the Mahalanobis distance is not a probability density. The square of the distance is returned.

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

◆ GetCovariance()

template<typename TVector >

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

virtual

Get the covariance matrix. Covariance matrix is a VariableSizeMatrix of doubles.

◆ GetMean()

template<typename TVector >

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

virtual

Get the mean of the Mahalanobis distance. Mean is a vector type similar to the measurement type but with a real element type.

◆ GetNameOfClass()

template<typename TVector >

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

virtual

Strandard macros

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

◆ InternalClone()

template<typename TVector >

LightObject::Pointer itk::Statistics::MahalanobisDistanceMembershipFunction< TVector >::InternalClone ( ) const

overridevirtual

Method to clone a membership function, i.e. create a new instance of the same type of membership function and configure its ivars to match.

Reimplemented from itk::LightObject.

◆ New()

template<typename TVector >

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

static

SmartPointer class for superclass

◆ PrintSelf()

template<typename TVector >

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

overrideprotectedvirtual

SmartPointer class for superclass

Reimplemented from itk::Object.

◆ SetCovariance()

template<typename TVector >

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

Set the covariance matrix. Covariance matrix is a VariableSizeMatrix of doubles. The inverse of the covariance matrix is calculated whenever the covariance matrix is changed.

◆ SetMean()

template<typename TVector >

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

Set the mean used in the Mahalanobis distance. Mean is a vector type similar to the measurement type but with a real element type.

Member Data Documentation

◆ m_Covariance

template<typename TVector >

CovarianceMatrixType itk::Statistics::MahalanobisDistanceMembershipFunction< TVector >::m_Covariance

private

SmartPointer class for superclass

Definition at line 134 of file itkMahalanobisDistanceMembershipFunction.h.

◆ m_CovarianceNonsingular

template<typename TVector >

bool itk::Statistics::MahalanobisDistanceMembershipFunction< TVector >::m_CovarianceNonsingular

private

Boolean to cache whether the covariance is singular or nearly singular

Definition at line 141 of file itkMahalanobisDistanceMembershipFunction.h.

◆ m_InverseCovariance

template<typename TVector >

CovarianceMatrixType itk::Statistics::MahalanobisDistanceMembershipFunction< TVector >::m_InverseCovariance

private

SmartPointer class for superclass

Definition at line 138 of file itkMahalanobisDistanceMembershipFunction.h.

◆ m_Mean

template<typename TVector >

MeanVectorType itk::Statistics::MahalanobisDistanceMembershipFunction< TVector >::m_Mean

private

SmartPointer class for superclass

Definition at line 133 of file itkMahalanobisDistanceMembershipFunction.h.

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

itkMahalanobisDistanceMembershipFunction.h

Public Types

Additional Inherited Members

Detailed Description

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

Member Typedef Documentation

◆ ConstPointer

◆ CovarianceMatrixType

◆ MeanVectorType

◆ MeasurementVectorRealType

◆ MeasurementVectorSizeType

◆ MeasurementVectorType

◆ MembershipFunctionPointer

◆ Pointer

◆ Self

◆ Superclass

Constructor & Destructor Documentation

◆ MahalanobisDistanceMembershipFunction()

◆ ~MahalanobisDistanceMembershipFunction()

Member Function Documentation

◆ CreateAnother()

◆ Evaluate()

◆ GetCovariance()

◆ GetMean()

◆ GetNameOfClass()

◆ InternalClone()

◆ New()

◆ PrintSelf()

◆ SetCovariance()

◆ SetMean()

Member Data Documentation

◆ m_Covariance

◆ m_CovarianceNonsingular

◆ m_InverseCovariance

◆ m_Mean

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