ITK  4.1.0
Insight Segmentation and Registration Toolkit
Public Types | Public Member Functions | Protected Member Functions | Private Member Functions | Private Attributes
itk::Statistics::MahalanobisDistanceMetric< TVector > Class Template Reference

#include <itkMahalanobisDistanceMetric.h>

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

List of all members.

Public Types

typedef SmartPointer< const SelfConstPointer
typedef vnl_matrix< double > CovarianceMatrixType
typedef Superclass::OriginType MeanVectorType
typedef
Superclass::MeasurementVectorSizeType 
MeasurementVectorSizeType
typedef
Superclass::MeasurementVectorType 
MeasurementVectorType
typedef SmartPointer< SelfPointer
typedef MahalanobisDistanceMetric Self
typedef DistanceMetric< TVector > Superclass

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 MeanVectorTypeGetMean () 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

Protected Member Functions

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

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 ()

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.


Member Typedef Documentation

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

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

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.

Type used for representing the mean vector

Definition at line 68 of file itkMahalanobisDistanceMetric.h.

Typedef to represent the length of measurement vectors

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

Definition at line 65 of file itkMahalanobisDistanceMetric.h.

Typedef to represent the measurement vector type

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

Definition at line 58 of file itkMahalanobisDistanceMetric.h.

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

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

Definition at line 53 of file itkMahalanobisDistanceMetric.h.

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

Standard class typedefs

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

Definition at line 51 of file itkMahalanobisDistanceMetric.h.

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

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

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  ) [inline, protected, virtual]

Definition at line 115 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

Reimplemented from itk::Object.

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

Get method for the length of the measurement vector

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)

Method to set mean

template<class TVector >
virtual void itk::Statistics::MahalanobisDistanceMetric< TVector >::SetMeasurementVectorSize ( MeasurementVectorSizeType  ) [virtual]

Set the length of each measurement vector.

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


Member Data Documentation

template<class TVector >
CovarianceMatrixType itk::Statistics::MahalanobisDistanceMetric< TVector >::m_Covariance [private]

Definition at line 120 of file itkMahalanobisDistanceMetric.h.

template<class TVector >
double itk::Statistics::MahalanobisDistanceMetric< TVector >::m_DoubleMax [private]

Definition at line 127 of file itkMahalanobisDistanceMetric.h.

template<class TVector >
double itk::Statistics::MahalanobisDistanceMetric< TVector >::m_Epsilon [private]

Definition at line 126 of file itkMahalanobisDistanceMetric.h.

Definition at line 124 of file itkMahalanobisDistanceMetric.h.

template<class TVector >
MeanVectorType itk::Statistics::MahalanobisDistanceMetric< TVector >::m_Mean [private]

Definition at line 119 of file itkMahalanobisDistanceMetric.h.


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