ITK  4.2.0
Insight Segmentation and Registration Toolkit
Public Types | Public Member Functions | Static Public Member Functions | Private Member Functions | Private Attributes
itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage > Class Template Reference

#include <itkNormalizedCorrelationPointSetToImageMetric.h>

+ Inheritance diagram for itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >:
+ Collaboration diagram for itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >:

List of all members.

Public Types

typedef SmartPointer< const SelfConstPointer
typedef Superclass::DerivativeType DerivativeType
typedef
Superclass::FixedPointSetConstPointer 
FixedPointSetConstPointer
typedef
Superclass::FixedPointSetType 
FixedPointSetType
typedef
Superclass::GradientPixelType 
GradientPixelType
typedef Superclass::InputPointType InputPointType
typedef Superclass::MeasureType MeasureType
typedef
Superclass::MovingImageConstPointer 
MovingImageConstPointer
typedef Superclass::MovingImageType MovingImageType
typedef Superclass::OutputPointType OutputPointType
typedef
Superclass::PointDataIterator 
PointDataIterator
typedef SmartPointer< SelfPointer
typedef Superclass::PointIterator PointIterator
typedef Superclass::RealType RealType
typedef
NormalizedCorrelationPointSetToImageMetric 
Self
typedef PointSetToImageMetric
< TFixedPointSet, TMovingImage > 
Superclass
typedef
Superclass::TransformJacobianType 
TransformJacobianType
typedef
Superclass::TransformParametersType 
TransformParametersType
typedef
Superclass::TransformPointer 
TransformPointer
typedef Superclass::TransformType TransformType
- Public Types inherited from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >
typedef
Superclass::ParametersValueType 
CoordinateRepresentationType
typedef
GradientImageFilterType::Pointer 
GradientImageFilterPointer
typedef InterpolatorType::Pointer InterpolatorPointer
typedef
InterpolateImageFunction
< MovingImageType,
CoordinateRepresentationType
InterpolatorType
typedef TMovingImage::PixelType MovingImagePixelType
typedef Superclass::ParametersType ParametersType
typedef Image
< GradientPixelType,
itkGetStaticConstMacro(MovingImageDimension) > 
GradientImageType
typedef SmartPointer
< GradientImageType
GradientImagePointer
typedef
GradientRecursiveGaussianImageFilter
< MovingImageType,
GradientImageType
GradientImageFilterType
- Public Types inherited from itk::SingleValuedCostFunction
typedef
Superclass::ParametersValueType 
ParametersValueType
- Public Types inherited from itk::CostFunction
- Public Types inherited from itk::Object
- Public Types inherited from itk::LightObject

Public Member Functions

virtual ::itk::LightObject::Pointer CreateAnother (void) const
void GetDerivative (const TransformParametersType &parameters, DerivativeType &Derivative) const
virtual const char * GetNameOfClass () const
MeasureType GetValue (const TransformParametersType &parameters) const
void GetValueAndDerivative (const TransformParametersType &parameters, MeasureType &Value, DerivativeType &Derivative) const
- Public Member Functions inherited from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >
virtual const FixedPointSetTypeGetFixedPointSet ()
virtual const GradientImageTypeGetGradientImage ()
virtual InterpolatorTypeGetInterpolator ()
virtual const MovingImageTypeGetMovingImage ()
unsigned int GetNumberOfParameters (void) const
virtual const SizeValueTypeGetNumberOfPixelsCounted ()
virtual TransformTypeGetTransform ()
virtual void Initialize (void) throw ( ExceptionObject )
virtual void SetFixedPointSet (const FixedPointSetType *_arg)
virtual void SetInterpolator (InterpolatorType *_arg)
virtual void SetMovingImage (const MovingImageType *_arg)
virtual void SetTransform (TransformType *_arg)
void SetTransformParameters (const ParametersType &parameters) const
virtual void SetComputeGradient (bool _arg)
virtual const bool & GetComputeGradient ()
- Public Member Functions inherited from itk::SingleValuedCostFunction
virtual void GetDerivative (const ParametersType &parameters, DerivativeType &derivative) const =0
virtual MeasureType GetValue (const ParametersType &parameters) const =0
virtual void GetValueAndDerivative (const ParametersType &parameters, MeasureType &value, DerivativeType &derivative) const

Static Public Member Functions

static Pointer New ()
- Protected Member Functions inherited from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >
 PointSetToImageMetric ()
virtual ~PointSetToImageMetric ()
- Protected Member Functions inherited from itk::SingleValuedCostFunction
 SingleValuedCostFunction ()
virtual ~SingleValuedCostFunction ()
- Protected Member Functions inherited from itk::CostFunction
 CostFunction ()
virtual ~CostFunction ()
- 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

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

Private Attributes

bool m_SubtractMean
virtual void SetSubtractMean (bool _arg)
virtual const bool & GetSubtractMean ()
virtual void SubtractMeanOn ()
virtual void SubtractMeanOff ()
 NormalizedCorrelationPointSetToImageMetric ()
virtual ~NormalizedCorrelationPointSetToImageMetric ()
void PrintSelf (std::ostream &os, Indent indent) const

Additional Inherited Members

- Static Public Attributes inherited from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >
static const unsigned int MovingImageDimension = TMovingImage::ImageDimension
static const unsigned int FixedPointSetDimension = TFixedPointSet::PointDimension
- Protected Attributes inherited from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >
bool m_ComputeGradient
FixedPointSetConstPointer m_FixedPointSet
GradientImagePointer m_GradientImage
InterpolatorPointer m_Interpolator
MovingImageConstPointer m_MovingImage
SizeValueType m_NumberOfPixelsCounted
TransformPointer m_Transform

Detailed Description

template<class TFixedPointSet, class TMovingImage>
class itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >

Computes similarity between pixel values of a point set and intensity values of an image.

This metric computes the correlation between point values in the fixed point-set and pixel values in the moving image. The correlation is normalized by the autocorrelation values of both the point-set and the moving image. The spatial correspondence between the point-set and the image is established through a Transform. Pixel values are taken from the fixed point-set. Their positions are mapped to the moving image and result in general in non-grid position on it. Values at these non-grid position of the moving image are interpolated using a user-selected Interpolator.

Definition at line 44 of file itkNormalizedCorrelationPointSetToImageMetric.h.


Member Typedef Documentation

template<class TFixedPointSet , class TMovingImage >
typedef SmartPointer< const Self > itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::ConstPointer
template<class TFixedPointSet , class TMovingImage >
typedef Superclass::DerivativeType itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::DerivativeType

Type of the derivative.

Reimplemented from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >.

Definition at line 71 of file itkNormalizedCorrelationPointSetToImageMetric.h.

template<class TFixedPointSet , class TMovingImage >
typedef Superclass::FixedPointSetConstPointer itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::FixedPointSetConstPointer
template<class TFixedPointSet , class TMovingImage >
typedef Superclass::FixedPointSetType itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::FixedPointSetType
template<class TFixedPointSet , class TMovingImage >
typedef Superclass::GradientPixelType itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::GradientPixelType

Gaussian filter to compute the gradient of the Moving Image

Reimplemented from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >.

Definition at line 68 of file itkNormalizedCorrelationPointSetToImageMetric.h.

template<class TFixedPointSet , class TMovingImage >
typedef Superclass::InputPointType itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::InputPointType
template<class TFixedPointSet , class TMovingImage >
typedef Superclass::MeasureType itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::MeasureType

Type of the measure.

Reimplemented from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >.

Definition at line 70 of file itkNormalizedCorrelationPointSetToImageMetric.h.

template<class TFixedPointSet , class TMovingImage >
typedef Superclass::MovingImageConstPointer itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::MovingImageConstPointer
template<class TFixedPointSet , class TMovingImage >
typedef Superclass::MovingImageType itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::MovingImageType
template<class TFixedPointSet , class TMovingImage >
typedef Superclass::OutputPointType itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::OutputPointType
template<class TFixedPointSet , class TMovingImage >
typedef Superclass::PointDataIterator itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::PointDataIterator
template<class TFixedPointSet , class TMovingImage >
typedef SmartPointer< Self > itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::Pointer
template<class TFixedPointSet , class TMovingImage >
typedef Superclass::PointIterator itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::PointIterator
template<class TFixedPointSet , class TMovingImage >
typedef Superclass::RealType itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::RealType

Types transferred from the base class

Reimplemented from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >.

Definition at line 60 of file itkNormalizedCorrelationPointSetToImageMetric.h.

template<class TFixedPointSet , class TMovingImage >
typedef NormalizedCorrelationPointSetToImageMetric itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::Self

Standard class typedefs.

Reimplemented from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >.

Definition at line 50 of file itkNormalizedCorrelationPointSetToImageMetric.h.

template<class TFixedPointSet , class TMovingImage >
typedef PointSetToImageMetric< TFixedPointSet, TMovingImage > itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::Superclass
template<class TFixedPointSet , class TMovingImage >
typedef Superclass::TransformJacobianType itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::TransformJacobianType
template<class TFixedPointSet , class TMovingImage >
typedef Superclass::TransformParametersType itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::TransformParametersType
template<class TFixedPointSet , class TMovingImage >
typedef Superclass::TransformPointer itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::TransformPointer
template<class TFixedPointSet , class TMovingImage >
typedef Superclass::TransformType itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::TransformType

Constructor & Destructor Documentation

template<class TFixedPointSet , class TMovingImage >
itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::NormalizedCorrelationPointSetToImageMetric ( )
protected

Set/Get SubtractMean boolean. If true, the sample mean is subtracted from the sample values in the cross-correlation formula and typically results in narrower valleys in the cost function. Default value is false.

template<class TFixedPointSet , class TMovingImage >
virtual itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::~NormalizedCorrelationPointSetToImageMetric ( )
inlineprotectedvirtual

Set/Get SubtractMean boolean. If true, the sample mean is subtracted from the sample values in the cross-correlation formula and typically results in narrower valleys in the cost function. Default value is false.

Definition at line 102 of file itkNormalizedCorrelationPointSetToImageMetric.h.

template<class TFixedPointSet , class TMovingImage >
itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::NormalizedCorrelationPointSetToImageMetric ( const Self )
private

Member Function Documentation

template<class TFixedPointSet , class TMovingImage >
virtual::itk::LightObject::Pointer itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::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 TFixedPointSet , class TMovingImage >
void itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::GetDerivative ( const TransformParametersType parameters,
DerivativeType Derivative 
) const

Get the derivatives of the match measure.

template<class TFixedPointSet , class TMovingImage >
virtual const char* itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::GetNameOfClass ( ) const
virtual

Run-time type information (and related methods).

Reimplemented from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >.

template<class TFixedPointSet , class TMovingImage >
virtual const bool& itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::GetSubtractMean ( )
virtual

Set/Get SubtractMean boolean. If true, the sample mean is subtracted from the sample values in the cross-correlation formula and typically results in narrower valleys in the cost function. Default value is false.

template<class TFixedPointSet , class TMovingImage >
MeasureType itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::GetValue ( const TransformParametersType parameters) const

Get the value for single valued optimizers.

template<class TFixedPointSet , class TMovingImage >
void itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::GetValueAndDerivative ( const TransformParametersType parameters,
MeasureType Value,
DerivativeType Derivative 
) const

Get value and derivatives for multiple valued optimizers.

template<class TFixedPointSet , class TMovingImage >
static Pointer itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::New ( )
static

Method for creation through the object factory.

Reimplemented from itk::Object.

template<class TFixedPointSet , class TMovingImage >
void itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::operator= ( const Self )
private

Mutex lock to protect modification to the reference count

Reimplemented from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >.

template<class TFixedPointSet , class TMovingImage >
void itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::PrintSelf ( std::ostream &  os,
Indent  indent 
) const
protectedvirtual

Set/Get SubtractMean boolean. If true, the sample mean is subtracted from the sample values in the cross-correlation formula and typically results in narrower valleys in the cost function. Default value is false.

Reimplemented from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >.

template<class TFixedPointSet , class TMovingImage >
virtual void itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::SetSubtractMean ( bool  _arg)
virtual

Set/Get SubtractMean boolean. If true, the sample mean is subtracted from the sample values in the cross-correlation formula and typically results in narrower valleys in the cost function. Default value is false.

template<class TFixedPointSet , class TMovingImage >
virtual void itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::SubtractMeanOff ( )
virtual

Set/Get SubtractMean boolean. If true, the sample mean is subtracted from the sample values in the cross-correlation formula and typically results in narrower valleys in the cost function. Default value is false.

template<class TFixedPointSet , class TMovingImage >
virtual void itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::SubtractMeanOn ( )
virtual

Set/Get SubtractMean boolean. If true, the sample mean is subtracted from the sample values in the cross-correlation formula and typically results in narrower valleys in the cost function. Default value is false.


Member Data Documentation

template<class TFixedPointSet , class TMovingImage >
bool itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::m_SubtractMean
private

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