ITK  4.1.0
Insight Segmentation and Registration Toolkit
Public Types | Public Member Functions | Static Public Member Functions | Static Public Attributes | Private Member Functions | Private Attributes
itk::CovarianceImageFunction< TInputImage, TCoordRep > Class Template Reference

#include <itkCovarianceImageFunction.h>

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

List of all members.

Public Types

typedef SmartPointer< const SelfConstPointer
typedef
Superclass::ContinuousIndexType 
ContinuousIndexType
typedef Superclass::IndexType IndexType
typedef TInputImage InputImageType
typedef Superclass::OutputType OutputType
typedef SmartPointer< SelfPointer
typedef Superclass::PointType PointType
typedef vnl_matrix< typename
NumericTraits< typename
InputImageType::PixelType::ValueType >
::RealType
RealType
typedef CovarianceImageFunction Self
typedef ImageFunction
< TInputImage, vnl_matrix
< typename NumericTraits
< typename
TInputImage::PixelType::ValueType >
::RealType >, TCoordRep > 
Superclass

Public Member Functions

virtual ::itk::LightObject::Pointer CreateAnother (void) const
virtual RealType Evaluate (const PointType &point) const
virtual RealType EvaluateAtContinuousIndex (const ContinuousIndexType &cindex) const
virtual RealType EvaluateAtIndex (const IndexType &index) const
virtual const char * GetNameOfClass () const

Static Public Member Functions

static Pointer New ()

Static Public Attributes

static const unsigned int ImageDimension = InputImageType::ImageDimension

Private Member Functions

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

Private Attributes

unsigned int m_NeighborhoodRadius
virtual void SetNeighborhoodRadius (unsigned int _arg)
virtual const unsigned int & GetNeighborhoodRadius ()
 CovarianceImageFunction ()
 ~CovarianceImageFunction ()
void PrintSelf (std::ostream &os, Indent indent) const

Detailed Description

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

Calculate the covariance matrix in the neighborhood of a pixel in a Vector image.

Calculate the covariance matrix over the standard 8, 26, etc. connected neighborhood. This calculation uses a ZeroFluxNeumannBoundaryCondition.

If called with a ContinuousIndex or Point, the calculation is performed at the nearest neighbor.

This class is templated over the input image type and the coordinate representation type (e.g. float or double).

See also:
VectorMeanImageFunction

Definition at line 45 of file itkCovarianceImageFunction.h.


Member Typedef Documentation

template<class TInputImage , class TCoordRep = float>
typedef SmartPointer< const Self > itk::CovarianceImageFunction< TInputImage, TCoordRep >::ConstPointer
template<class TInputImage , class TCoordRep = float>
typedef Superclass::ContinuousIndexType itk::CovarianceImageFunction< TInputImage, TCoordRep >::ContinuousIndexType
template<class TInputImage , class TCoordRep = float>
typedef Superclass::IndexType itk::CovarianceImageFunction< TInputImage, TCoordRep >::IndexType
template<class TInputImage , class TCoordRep = float>
typedef TInputImage itk::CovarianceImageFunction< TInputImage, TCoordRep >::InputImageType
template<class TInputImage , class TCoordRep = float>
typedef Superclass::OutputType itk::CovarianceImageFunction< TInputImage, TCoordRep >::OutputType
template<class TInputImage , class TCoordRep = float>
typedef SmartPointer< Self > itk::CovarianceImageFunction< TInputImage, TCoordRep >::Pointer
template<class TInputImage , class TCoordRep = float>
typedef Superclass::PointType itk::CovarianceImageFunction< TInputImage, TCoordRep >::PointType
template<class TInputImage , class TCoordRep = float>
typedef vnl_matrix< typename NumericTraits< typename InputImageType::PixelType::ValueType >::RealType > itk::CovarianceImageFunction< TInputImage, TCoordRep >::RealType

Datatype used for the covariance matrix

Definition at line 91 of file itkCovarianceImageFunction.h.

template<class TInputImage , class TCoordRep = float>
typedef CovarianceImageFunction itk::CovarianceImageFunction< TInputImage, TCoordRep >::Self
template<class TInputImage , class TCoordRep = float>
typedef ImageFunction< TInputImage, vnl_matrix< typename NumericTraits< typename TInputImage::PixelType::ValueType >::RealType >, TCoordRep > itk::CovarianceImageFunction< TInputImage, TCoordRep >::Superclass

Constructor & Destructor Documentation

template<class TInputImage , class TCoordRep = float>
itk::CovarianceImageFunction< TInputImage, TCoordRep >::CovarianceImageFunction ( ) [protected]

Get/Set the radius of the neighborhood over which the statistics are evaluated

template<class TInputImage , class TCoordRep = float>
itk::CovarianceImageFunction< TInputImage, TCoordRep >::~CovarianceImageFunction ( ) [inline, protected]

Get/Set the radius of the neighborhood over which the statistics are evaluated

Definition at line 120 of file itkCovarianceImageFunction.h.

template<class TInputImage , class TCoordRep = float>
itk::CovarianceImageFunction< TInputImage, TCoordRep >::CovarianceImageFunction ( const Self ) [private]

Member Function Documentation

template<class TInputImage , class TCoordRep = float>
virtual::itk::LightObject::Pointer itk::CovarianceImageFunction< 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 RealType itk::CovarianceImageFunction< TInputImage, TCoordRep >::Evaluate ( const PointType point) const [inline, virtual]

Evaluate the function at non-integer positions

Definition at line 97 of file itkCovarianceImageFunction.h.

template<class TInputImage , class TCoordRep = float>
virtual RealType itk::CovarianceImageFunction< TInputImage, TCoordRep >::EvaluateAtContinuousIndex ( const ContinuousIndexType cindex) const [inline, virtual]

Definition at line 105 of file itkCovarianceImageFunction.h.

template<class TInputImage , class TCoordRep = float>
virtual RealType itk::CovarianceImageFunction< TInputImage, TCoordRep >::EvaluateAtIndex ( const IndexType index) const [virtual]

Evalulate the function at specified index

template<class TInputImage , class TCoordRep = float>
virtual const char* itk::CovarianceImageFunction< TInputImage, TCoordRep >::GetNameOfClass ( ) const [virtual]
template<class TInputImage , class TCoordRep = float>
virtual const unsigned int& itk::CovarianceImageFunction< TInputImage, TCoordRep >::GetNeighborhoodRadius ( ) [virtual]

Get/Set the radius of the neighborhood over which the statistics are evaluated

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

Method for creation through the object factory.

Reimplemented from itk::Object.

template<class TInputImage , class TCoordRep = float>
void itk::CovarianceImageFunction< TInputImage, TCoordRep >::operator= ( const Self ) [private]

Mutex lock to protect modification to the reference count

Reimplemented from itk::ImageFunction< TInputImage, vnl_matrix< NumericTraits< TInputImage::PixelType::ValueType >::RealType >, TCoordRep >.

template<class TInputImage , class TCoordRep = float>
void itk::CovarianceImageFunction< TInputImage, TCoordRep >::PrintSelf ( std::ostream &  os,
Indent  indent 
) const [protected, virtual]

Get/Set the radius of the neighborhood over which the statistics are evaluated

Reimplemented from itk::ImageFunction< TInputImage, vnl_matrix< NumericTraits< TInputImage::PixelType::ValueType >::RealType >, TCoordRep >.

template<class TInputImage , class TCoordRep = float>
virtual void itk::CovarianceImageFunction< TInputImage, TCoordRep >::SetNeighborhoodRadius ( unsigned int  _arg) [virtual]

Get/Set the radius of the neighborhood over which the statistics are evaluated


Member Data Documentation

template<class TInputImage , class TCoordRep = float>
const unsigned int itk::CovarianceImageFunction< TInputImage, TCoordRep >::ImageDimension = InputImageType::ImageDimension [static]
template<class TInputImage , class TCoordRep = float>
unsigned int itk::CovarianceImageFunction< TInputImage, TCoordRep >::m_NeighborhoodRadius [private]

Definition at line 128 of file itkCovarianceImageFunction.h.


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