ITK  4.4.0
Insight Segmentation and Registration Toolkit
Public Types | Public Member Functions | Static Public Member Functions | Static Public Attributes | Protected Member Functions | Private Types | Private Member Functions | Private Attributes | List of all members
itk::MahalanobisDistanceThresholdImageFunction< TInputImage, TCoordRep > Class Template Reference

#include <itkMahalanobisDistanceThresholdImageFunction.h>

+ Inheritance diagram for itk::MahalanobisDistanceThresholdImageFunction< TInputImage, TCoordRep >:
+ Collaboration diagram for itk::MahalanobisDistanceThresholdImageFunction< TInputImage, TCoordRep >:

Detailed Description

template<class TInputImage, class TCoordRep = float>
class itk::MahalanobisDistanceThresholdImageFunction< TInputImage, TCoordRep >

Returns true if the pixel value of a vector image has a Mahalanobis distance below the value specified by the threshold.

This ImageFunction returns true if the pixel value of a vector image has a Mahalanobis distance below the value specided by the threshold. The Mahalanobis distance is computed with the MahalanobisDistanceMembershipFunction class which has to be initialized with a mean and covariance. This class is intended to be used only with images whose pixel type is a vector (array).

The input image is set via method SetInputImage().

Methods Evaluate, EvaluateAtIndex and EvaluateAtContinuousIndex respectively evaluate the function at an geometric point, image index and continuous image index.

Definition at line 49 of file itkMahalanobisDistanceThresholdImageFunction.h.

Public Types

typedef SmartPointer< const SelfConstPointer
 
typedef
Superclass::ContinuousIndexType 
ContinuousIndexType
 
typedef vnl_matrix< double > CovarianceMatrixType
 
typedef Superclass::IndexType IndexType
 
typedef Superclass::InputImageType InputImageType
 
typedef vnl_vector< double > MeanVectorType
 
typedef TInputImage::PixelType PixelType
 
typedef SmartPointer< SelfPointer
 
typedef Superclass::PointType PointType
 
typedef
MahalanobisDistanceThresholdImageFunction 
Self
 
typedef ImageFunction
< TInputImage, bool, TCoordRep > 
Superclass
 
- Public Types inherited from itk::ImageFunction< TInputImage, bool, TCoordRep >
typedef SmartPointer< const SelfConstPointer
 
typedef ContinuousIndex
< TCoordRep,
itkGetStaticConstMacro(ImageDimension) > 
ContinuousIndexType
 
typedef TCoordRep CoordRepType
 
typedef InputImageType::IndexType IndexType
 
typedef
InputImageType::IndexValueType 
IndexValueType
 
typedef
InputImageType::ConstPointer 
InputImageConstPointer
 
typedef TInputImage InputImageType
 
typedef InputImageType::PixelType InputPixelType
 
typedef bool OutputType
 
typedef SmartPointer< SelfPointer
 
typedef Point< TCoordRep,
itkGetStaticConstMacro(ImageDimension) > 
PointType
 
typedef ImageFunction Self
 
typedef FunctionBase< Point
< TCoordRep,
itkGetStaticConstMacro(ImageDimension) >
, bool > 
Superclass
 
- Public Types inherited from itk::FunctionBase< Point< TCoordRep, TInputImage::ImageDimension >, bool >
typedef SmartPointer< const SelfConstPointer
 
typedef Point< TCoordRep,
TInputImage::ImageDimension > 
InputType
 
typedef bool OutputType
 
typedef SmartPointer< SelfPointer
 
typedef FunctionBase Self
 
typedef Object Superclass
 
- Public Types inherited from itk::Object
typedef SmartPointer< const SelfConstPointer
 
typedef SmartPointer< SelfPointer
 
typedef Object Self
 
typedef LightObject Superclass
 
- Public Types inherited from itk::LightObject
typedef SmartPointer< const SelfConstPointer
 
typedef SmartPointer< SelfPointer
 
typedef LightObject Self
 

Public Member Functions

virtual ::itk::LightObject::Pointer CreateAnother (void) const
 
virtual bool Evaluate (const PointType &point) const
 
virtual bool EvaluateAtContinuousIndex (const ContinuousIndexType &index) const
 
virtual bool EvaluateAtIndex (const IndexType &index) const
 
virtual double EvaluateDistance (const PointType &point) const
 
virtual double EvaluateDistanceAtIndex (const IndexType &index) const
 
const CovarianceMatrixTypeGetCovariance () const
 
const MeanVectorTypeGetMean () const
 
virtual const char * GetNameOfClass () const
 
void SetCovariance (const CovarianceMatrixType &cov)
 
void SetMean (const MeanVectorType &mean)
 
virtual const double & GetThreshold ()
 
virtual void SetThreshold (double _arg)
 
- Public Member Functions inherited from itk::ImageFunction< TInputImage, bool, TCoordRep >
void ConvertContinuousIndexToNearestIndex (const ContinuousIndexType &cindex, IndexType &index) const
 
void ConvertPointToContinuousIndex (const PointType &point, ContinuousIndexType &cindex) const
 
void ConvertPointToNearestIndex (const PointType &point, IndexType &index) const
 
virtual bool Evaluate (const PointType &point) const =0
 
virtual bool EvaluateAtContinuousIndex (const ContinuousIndexType &index) const =0
 
virtual bool EvaluateAtIndex (const IndexType &index) const =0
 
virtual const ContinuousIndexTypeGetEndContinuousIndex ()
 
virtual const IndexTypeGetEndIndex ()
 
const InputImageTypeGetInputImage () const
 
virtual const ContinuousIndexTypeGetStartContinuousIndex ()
 
virtual const IndexTypeGetStartIndex ()
 
virtual void SetInputImage (const InputImageType *ptr)
 
virtual bool IsInsideBuffer (const IndexType &index) const
 
virtual bool IsInsideBuffer (const ContinuousIndexType &index) const
 
virtual bool IsInsideBuffer (const PointType &point) const
 
- Public Member Functions inherited from itk::FunctionBase< Point< TCoordRep, TInputImage::ImageDimension >, bool >
virtual OutputType Evaluate (const InputType &input) const =0
 
- Public Member Functions inherited from itk::Object
unsigned long AddObserver (const EventObject &event, Command *)
 
unsigned long AddObserver (const EventObject &event, Command *) const
 
virtual void DebugOff () const
 
virtual void DebugOn () const
 
CommandGetCommand (unsigned long tag)
 
bool GetDebug () const
 
MetaDataDictionaryGetMetaDataDictionary (void)
 
const MetaDataDictionaryGetMetaDataDictionary (void) const
 
virtual ModifiedTimeType GetMTime () const
 
virtual const TimeStampGetTimeStamp () const
 
bool HasObserver (const EventObject &event) const
 
void InvokeEvent (const EventObject &)
 
void InvokeEvent (const EventObject &) const
 
virtual void Modified () const
 
virtual void Register () const
 
void RemoveAllObservers ()
 
void RemoveObserver (unsigned long tag)
 
void SetDebug (bool debugFlag) const
 
void SetMetaDataDictionary (const MetaDataDictionary &rhs)
 
virtual void SetReferenceCount (int)
 
virtual void UnRegister () const
 
- Public Member Functions inherited from itk::LightObject
virtual void Delete ()
 
virtual int GetReferenceCount () const
 
 itkCloneMacro (Self)
 
void Print (std::ostream &os, Indent indent=0) const
 

Static Public Member Functions

static Pointer New ()
 

Static Public Attributes

static const unsigned int ImageDimension = Superclass::ImageDimension
 
- Static Public Attributes inherited from itk::ImageFunction< TInputImage, bool, TCoordRep >
static const unsigned int ImageDimension
 

Protected Member Functions

 MahalanobisDistanceThresholdImageFunction ()
 
void PrintSelf (std::ostream &os, Indent indent) const
 
 ~MahalanobisDistanceThresholdImageFunction ()
 
- Protected Member Functions inherited from itk::ImageFunction< TInputImage, bool, TCoordRep >
 ImageFunction ()
 
void PrintSelf (std::ostream &os, Indent indent) const
 
 ~ImageFunction ()
 
- Protected Member Functions inherited from itk::FunctionBase< Point< TCoordRep, TInputImage::ImageDimension >, bool >
 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 Types

typedef
MahalanobisDistanceFunctionType::Pointer 
MahalanobisDistanceFunctionPointer
 
typedef
Statistics::MahalanobisDistanceMembershipFunction
< PixelType
MahalanobisDistanceFunctionType
 

Private Member Functions

 MahalanobisDistanceThresholdImageFunction (const Self &)
 
void operator= (const Self &)
 

Private Attributes

CovarianceMatrixType m_Covariance
 
MahalanobisDistanceFunctionPointer m_MahalanobisDistanceMembershipFunction
 
MeanVectorType m_Mean
 
double m_Threshold
 

Additional Inherited Members

- Protected Types inherited from itk::LightObject
typedef int InternalReferenceCountType
 
- Protected Attributes inherited from itk::ImageFunction< TInputImage, bool, TCoordRep >
ContinuousIndexType m_EndContinuousIndex
 
IndexType m_EndIndex
 
InputImageConstPointer m_Image
 
ContinuousIndexType m_StartContinuousIndex
 
IndexType m_StartIndex
 

Member Typedef Documentation

template<class TInputImage , class TCoordRep = float>
typedef SmartPointer< const Self > itk::MahalanobisDistanceThresholdImageFunction< TInputImage, TCoordRep >::ConstPointer
template<class TInputImage , class TCoordRep = float>
typedef Superclass::ContinuousIndexType itk::MahalanobisDistanceThresholdImageFunction< TInputImage, TCoordRep >::ContinuousIndexType

ContinuousIndex typedef support.

Definition at line 81 of file itkMahalanobisDistanceThresholdImageFunction.h.

template<class TInputImage , class TCoordRep = float>
typedef vnl_matrix< double > itk::MahalanobisDistanceThresholdImageFunction< TInputImage, TCoordRep >::CovarianceMatrixType

Type used to represent the Covariance matrix of the vector population

Definition at line 84 of file itkMahalanobisDistanceThresholdImageFunction.h.

template<class TInputImage , class TCoordRep = float>
typedef Superclass::IndexType itk::MahalanobisDistanceThresholdImageFunction< TInputImage, TCoordRep >::IndexType

Index typedef support.

Definition at line 78 of file itkMahalanobisDistanceThresholdImageFunction.h.

template<class TInputImage , class TCoordRep = float>
typedef Superclass::InputImageType itk::MahalanobisDistanceThresholdImageFunction< TInputImage, TCoordRep >::InputImageType

InputImageType typedef support.

Definition at line 63 of file itkMahalanobisDistanceThresholdImageFunction.h.

template<class TInputImage , class TCoordRep = float>
typedef MahalanobisDistanceFunctionType::Pointer itk::MahalanobisDistanceThresholdImageFunction< TInputImage, TCoordRep >::MahalanobisDistanceFunctionPointer
private
template<class TInputImage , class TCoordRep = float>
typedef Statistics::MahalanobisDistanceMembershipFunction< PixelType > itk::MahalanobisDistanceThresholdImageFunction< TInputImage, TCoordRep >::MahalanobisDistanceFunctionType
private
template<class TInputImage , class TCoordRep = float>
typedef vnl_vector< double > itk::MahalanobisDistanceThresholdImageFunction< TInputImage, TCoordRep >::MeanVectorType

Type used to represent the Mean Vector of the vector population

Definition at line 87 of file itkMahalanobisDistanceThresholdImageFunction.h.

template<class TInputImage , class TCoordRep = float>
typedef TInputImage::PixelType itk::MahalanobisDistanceThresholdImageFunction< TInputImage, TCoordRep >::PixelType

Typedef to describe the type of pixel.

Definition at line 69 of file itkMahalanobisDistanceThresholdImageFunction.h.

template<class TInputImage , class TCoordRep = float>
typedef SmartPointer< Self > itk::MahalanobisDistanceThresholdImageFunction< TInputImage, TCoordRep >::Pointer
template<class TInputImage , class TCoordRep = float>
typedef Superclass::PointType itk::MahalanobisDistanceThresholdImageFunction< TInputImage, TCoordRep >::PointType

Point typedef support.

Definition at line 75 of file itkMahalanobisDistanceThresholdImageFunction.h.

template<class TInputImage , class TCoordRep = float>
typedef MahalanobisDistanceThresholdImageFunction itk::MahalanobisDistanceThresholdImageFunction< TInputImage, TCoordRep >::Self

Standard class typedefs.

Definition at line 54 of file itkMahalanobisDistanceThresholdImageFunction.h.

template<class TInputImage , class TCoordRep = float>
typedef ImageFunction< TInputImage, bool, TCoordRep > itk::MahalanobisDistanceThresholdImageFunction< TInputImage, TCoordRep >::Superclass

Constructor & Destructor Documentation

template<class TInputImage , class TCoordRep = float>
itk::MahalanobisDistanceThresholdImageFunction< TInputImage, TCoordRep >::MahalanobisDistanceThresholdImageFunction ( )
protected
template<class TInputImage , class TCoordRep = float>
itk::MahalanobisDistanceThresholdImageFunction< TInputImage, TCoordRep >::~MahalanobisDistanceThresholdImageFunction ( )
inlineprotected
template<class TInputImage , class TCoordRep = float>
itk::MahalanobisDistanceThresholdImageFunction< TInputImage, TCoordRep >::MahalanobisDistanceThresholdImageFunction ( const Self )
private

Member Function Documentation

template<class TInputImage , class TCoordRep = float>
virtual::itk::LightObject::Pointer itk::MahalanobisDistanceThresholdImageFunction< TInputImage, TCoordRep >::CreateAnother ( void  ) const
virtual

Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.

Reimplemented from itk::Object.

template<class TInputImage , class TCoordRep = float>
virtual bool itk::MahalanobisDistanceThresholdImageFunction< TInputImage, TCoordRep >::Evaluate ( const PointType point) const
virtual

BinaryThreshold the image at a point position

Returns true if the image intensity at the specified point position satisfies the threshold criteria. The point is assumed to lie within the image buffer.

ImageFunction::IsInsideBuffer() can be used to check bounds before calling the method.

template<class TInputImage , class TCoordRep = float>
virtual bool itk::MahalanobisDistanceThresholdImageFunction< TInputImage, TCoordRep >::EvaluateAtContinuousIndex ( const ContinuousIndexType index) const
virtual

BinaryThreshold the image at a continuous index position

Returns true if the image intensity at the specified point position satisfies the threshold criteria. The point is assumed to lie within the image buffer.

ImageFunction::IsInsideBuffer() can be used to check bounds before calling the method.

template<class TInputImage , class TCoordRep = float>
virtual bool itk::MahalanobisDistanceThresholdImageFunction< TInputImage, TCoordRep >::EvaluateAtIndex ( const IndexType index) const
virtual

BinaryThreshold the image at an index position.

Returns true if the image intensity at the specified point position satisfies the threshold criteria. The point is assumed to lie within the image buffer.

ImageFunction::IsInsideBuffer() can be used to check bounds before calling the method.

template<class TInputImage , class TCoordRep = float>
virtual double itk::MahalanobisDistanceThresholdImageFunction< TInputImage, TCoordRep >::EvaluateDistance ( const PointType point) const
virtual

Returns the actual value of the MahalanobisDistance at that point. The point is assumed to lie within the image buffer. ImageFunction::IsInsideBuffer() can be used to check bounds before calling the method.

template<class TInputImage , class TCoordRep = float>
virtual double itk::MahalanobisDistanceThresholdImageFunction< TInputImage, TCoordRep >::EvaluateDistanceAtIndex ( const IndexType index) const
virtual

Returns the actual value of the MahalanobisDistance at that Index. The point is assumed to lie within the image buffer. ImageFunction::IsInsideBuffer() can be used to check bounds before calling the method.

template<class TInputImage , class TCoordRep = float>
const CovarianceMatrixType& itk::MahalanobisDistanceThresholdImageFunction< TInputImage, TCoordRep >::GetCovariance ( ) const

Get the covariance matrix

template<class TInputImage , class TCoordRep = float>
const MeanVectorType& itk::MahalanobisDistanceThresholdImageFunction< TInputImage, TCoordRep >::GetMean ( ) const

Method to get the mean.

template<class TInputImage , class TCoordRep = float>
virtual const char* itk::MahalanobisDistanceThresholdImageFunction< TInputImage, TCoordRep >::GetNameOfClass ( ) const
virtual

Run-time type information (and related methods).

Reimplemented from itk::ImageFunction< TInputImage, bool, TCoordRep >.

template<class TInputImage , class TCoordRep = float>
virtual const double& itk::MahalanobisDistanceThresholdImageFunction< TInputImage, TCoordRep >::GetThreshold ( )
virtual

Get the lower threshold value.

template<class TInputImage , class TCoordRep = float>
static Pointer itk::MahalanobisDistanceThresholdImageFunction< TInputImage, TCoordRep >::New ( )
static

Method for creation through the object factory.

template<class TInputImage , class TCoordRep = float>
void itk::MahalanobisDistanceThresholdImageFunction< TInputImage, TCoordRep >::operator= ( const Self )
private
template<class TInputImage , class TCoordRep = float>
void itk::MahalanobisDistanceThresholdImageFunction< TInputImage, TCoordRep >::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::Object.

template<class TInputImage , class TCoordRep = float>
void itk::MahalanobisDistanceThresholdImageFunction< TInputImage, TCoordRep >::SetCovariance ( const CovarianceMatrixType cov)

Method to set covariance matrix

template<class TInputImage , class TCoordRep = float>
void itk::MahalanobisDistanceThresholdImageFunction< TInputImage, TCoordRep >::SetMean ( const MeanVectorType mean)

Method to set mean

template<class TInputImage , class TCoordRep = float>
virtual void itk::MahalanobisDistanceThresholdImageFunction< TInputImage, TCoordRep >::SetThreshold ( double  _arg)
virtual

Get the lower threshold value.

Member Data Documentation

template<class TInputImage , class TCoordRep = float>
const unsigned int itk::MahalanobisDistanceThresholdImageFunction< TInputImage, TCoordRep >::ImageDimension = Superclass::ImageDimension
static

Dimension underlying input image.

Definition at line 72 of file itkMahalanobisDistanceThresholdImageFunction.h.

template<class TInputImage , class TCoordRep = float>
CovarianceMatrixType itk::MahalanobisDistanceThresholdImageFunction< TInputImage, TCoordRep >::m_Covariance
private
template<class TInputImage , class TCoordRep = float>
MahalanobisDistanceFunctionPointer itk::MahalanobisDistanceThresholdImageFunction< TInputImage, TCoordRep >::m_MahalanobisDistanceMembershipFunction
private
template<class TInputImage , class TCoordRep = float>
MeanVectorType itk::MahalanobisDistanceThresholdImageFunction< TInputImage, TCoordRep >::m_Mean
private
template<class TInputImage , class TCoordRep = float>
double itk::MahalanobisDistanceThresholdImageFunction< TInputImage, TCoordRep >::m_Threshold
private

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