ITK  4.1.0
Insight Segmentation and Registration Toolkit
Public Types | Public Member Functions | Static Public Member Functions | Private Member Functions | Private Attributes
itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage > Class Template Reference
Similarity Metrics of Registration Methods | Module ITKRegistrationCommon

#include <itkNormalizedCorrelationImageToImageMetric.h>

+ Inheritance diagram for itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >:
+ Collaboration diagram for itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >:

List of all members.

Public Types

typedef SmartPointer< const Self > ConstPointer
typedef Superclass::DerivativeType DerivativeType
typedef
Superclass::FixedImageConstPointer 		FixedImageConstPointer
typedef Superclass::FixedImageType FixedImageType
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 SmartPointer< Self > Pointer
typedef Superclass::RealType RealType
typedef
NormalizedCorrelationImageToImageMetric 		Self
typedef ImageToImageMetric
< TFixedImage, TMovingImage > 		Superclass
typedef
Superclass::TransformJacobianType 		TransformJacobianType
typedef
Superclass::TransformParametersType 		TransformParametersType
typedef
Superclass::TransformPointer 		TransformPointer
typedef Superclass::TransformType TransformType

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

Static Public Member Functions

static Pointer New ()

Private Member Functions

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

Detailed Description

template<class TFixedImage, class TMovingImage>
class itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >

Computes similarity between two images to be registered.

This metric computes the correlation between pixels in the fixed image and pixels in the moving image. The spatial correspondance between fixed and moving image is established through a Transform. Pixel values are taken from the fixed image, 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. The correlation is normalized by the autocorrelations of both the fixed and moving images.

Definition at line 42 of file itkNormalizedCorrelationImageToImageMetric.h.

Member Typedef Documentation

template<class TFixedImage , class TMovingImage >
typedef SmartPointer< const Self > itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::ConstPointer

Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 51 of file itkNormalizedCorrelationImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef Superclass::DerivativeType itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::DerivativeType

Type of the derivative.

Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 70 of file itkNormalizedCorrelationImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef Superclass::FixedImageConstPointer itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::FixedImageConstPointer

Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 73 of file itkNormalizedCorrelationImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef Superclass::FixedImageType itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::FixedImageType

Type of the fixed Image.

Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 71 of file itkNormalizedCorrelationImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef Superclass::GradientPixelType itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::GradientPixelType

Gaussian filter to compute the gradient of the Moving Image

Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 65 of file itkNormalizedCorrelationImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef Superclass::InputPointType itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::InputPointType

Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 67 of file itkNormalizedCorrelationImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef Superclass::MeasureType itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::MeasureType

Type of the measure.

Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 69 of file itkNormalizedCorrelationImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef Superclass::MovingImageConstPointer itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::MovingImageConstPointer

Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 74 of file itkNormalizedCorrelationImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef Superclass::MovingImageType itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::MovingImageType

Type of the moving Image.

Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 72 of file itkNormalizedCorrelationImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef Superclass::OutputPointType itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::OutputPointType

Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 66 of file itkNormalizedCorrelationImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef SmartPointer< Self > itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::Pointer

Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 50 of file itkNormalizedCorrelationImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef Superclass::RealType itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::RealType

Types transferred from the base class

Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 57 of file itkNormalizedCorrelationImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef NormalizedCorrelationImageToImageMetric itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::Self

Standard class typedefs.

Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 48 of file itkNormalizedCorrelationImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef ImageToImageMetric< TFixedImage, TMovingImage > itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::Superclass

Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 49 of file itkNormalizedCorrelationImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef Superclass::TransformJacobianType itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::TransformJacobianType

Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 64 of file itkNormalizedCorrelationImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef Superclass::TransformParametersType itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::TransformParametersType

Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 63 of file itkNormalizedCorrelationImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef Superclass::TransformPointer itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::TransformPointer

Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 62 of file itkNormalizedCorrelationImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef Superclass::TransformType itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::TransformType

Type of the Transform Base class

Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 61 of file itkNormalizedCorrelationImageToImageMetric.h.

Constructor & Destructor Documentation

template<class TFixedImage , class TMovingImage >
itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::NormalizedCorrelationImageToImageMetric ( ) [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 fucntion. Default value is false.

template<class TFixedImage , class TMovingImage >
virtual itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::~NormalizedCorrelationImageToImageMetric ( ) [inline, protected, 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 fucntion. Default value is false.

Definition at line 96 of file itkNormalizedCorrelationImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::NormalizedCorrelationImageToImageMetric ( const Self &  ) [private]

Member Function Documentation

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

Get the derivatives of the match measure.

template<class TFixedImage , class TMovingImage >
virtual const char* itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::GetNameOfClass ( ) const [virtual]

Run-time type information (and related methods).

Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.

template<class TFixedImage , class TMovingImage >
virtual const bool& itk::NormalizedCorrelationImageToImageMetric< TFixedImage, 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 fucntion. Default value is false.

template<class TFixedImage , class TMovingImage >
MeasureType itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::GetValue ( const TransformParametersType &  parameters) const

Get the value for single valued optimizers.

template<class TFixedImage , class TMovingImage >
void itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::GetValueAndDerivative ( const TransformParametersType &  parameters,
MeasureType &  Value,
DerivativeType &  Derivative 
) const

Get value and derivatives for multiple valued optimizers.

template<class TFixedImage , class TMovingImage >
static Pointer itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::New ( ) [static]

Method for creation through the object factory.

Reimplemented from itk::Object.

template<class TFixedImage , class TMovingImage >
void itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::operator= ( const Self &  ) [private]

Mutex lock to protect modification to the reference count

Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.

template<class TFixedImage , class TMovingImage >
void itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::PrintSelf ( std::ostream &  os,
Indent  indent 
) const [protected, 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 fucntion. Default value is false.

Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.

template<class TFixedImage , class TMovingImage >
virtual void itk::NormalizedCorrelationImageToImageMetric< TFixedImage, 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 fucntion. Default value is false.

template<class TFixedImage , class TMovingImage >
virtual void itk::NormalizedCorrelationImageToImageMetric< TFixedImage, 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 fucntion. Default value is false.

template<class TFixedImage , class TMovingImage >
virtual void itk::NormalizedCorrelationImageToImageMetric< TFixedImage, 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 fucntion. Default value is false.

Member Data Documentation

template<class TFixedImage , class TMovingImage >
bool itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::m_SubtractMean [private]

Definition at line 106 of file itkNormalizedCorrelationImageToImageMetric.h.

The documentation for this class was generated from the following file:
Generated on Fri Mar 2 2012 01:10:51 for ITK by doxygen 1.7.6.1