ITK
4.4.0
Insight Segmentation and Registration Toolkit
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#include <itkNormalizedCorrelationPointSetToImageMetric.h>
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.
Static Public Member Functions | |
static Pointer | New () |
Protected Member Functions | |
NormalizedCorrelationPointSetToImageMetric () | |
void | PrintSelf (std::ostream &os, Indent indent) const |
virtual | ~NormalizedCorrelationPointSetToImageMetric () |
Protected Member Functions inherited from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage > | |
PointSetToImageMetric () | |
void | PrintSelf (std::ostream &os, Indent indent) const |
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 |
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 Types inherited from itk::LightObject | |
typedef int | InternalReferenceCountType |
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 |
typedef SmartPointer< const Self > itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::ConstPointer |
Definition at line 53 of file itkNormalizedCorrelationPointSetToImageMetric.h.
typedef Superclass::DerivativeType itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::DerivativeType |
Definition at line 71 of file itkNormalizedCorrelationPointSetToImageMetric.h.
typedef Superclass::FixedPointSetConstPointer itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::FixedPointSetConstPointer |
Definition at line 74 of file itkNormalizedCorrelationPointSetToImageMetric.h.
typedef Superclass::FixedPointSetType itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::FixedPointSetType |
Definition at line 72 of file itkNormalizedCorrelationPointSetToImageMetric.h.
typedef Superclass::GradientPixelType itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::GradientPixelType |
Definition at line 68 of file itkNormalizedCorrelationPointSetToImageMetric.h.
typedef Superclass::InputPointType itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::InputPointType |
Definition at line 79 of file itkNormalizedCorrelationPointSetToImageMetric.h.
typedef Superclass::MeasureType itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::MeasureType |
Definition at line 70 of file itkNormalizedCorrelationPointSetToImageMetric.h.
typedef Superclass::MovingImageConstPointer itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::MovingImageConstPointer |
Definition at line 75 of file itkNormalizedCorrelationPointSetToImageMetric.h.
typedef Superclass::MovingImageType itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::MovingImageType |
Definition at line 73 of file itkNormalizedCorrelationPointSetToImageMetric.h.
typedef Superclass::OutputPointType itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::OutputPointType |
Definition at line 80 of file itkNormalizedCorrelationPointSetToImageMetric.h.
typedef Superclass::PointDataIterator itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::PointDataIterator |
Definition at line 78 of file itkNormalizedCorrelationPointSetToImageMetric.h.
typedef SmartPointer< Self > itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::Pointer |
Definition at line 52 of file itkNormalizedCorrelationPointSetToImageMetric.h.
typedef Superclass::PointIterator itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::PointIterator |
Definition at line 77 of file itkNormalizedCorrelationPointSetToImageMetric.h.
typedef Superclass::RealType itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::RealType |
Types transferred from the base class
Definition at line 60 of file itkNormalizedCorrelationPointSetToImageMetric.h.
typedef NormalizedCorrelationPointSetToImageMetric itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::Self |
Standard class typedefs.
Definition at line 50 of file itkNormalizedCorrelationPointSetToImageMetric.h.
typedef PointSetToImageMetric< TFixedPointSet, TMovingImage > itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::Superclass |
Definition at line 51 of file itkNormalizedCorrelationPointSetToImageMetric.h.
typedef Superclass::TransformJacobianType itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::TransformJacobianType |
Definition at line 67 of file itkNormalizedCorrelationPointSetToImageMetric.h.
typedef Superclass::TransformParametersType itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::TransformParametersType |
Definition at line 66 of file itkNormalizedCorrelationPointSetToImageMetric.h.
typedef Superclass::TransformPointer itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::TransformPointer |
Definition at line 65 of file itkNormalizedCorrelationPointSetToImageMetric.h.
typedef Superclass::TransformType itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::TransformType |
Definition at line 64 of file itkNormalizedCorrelationPointSetToImageMetric.h.
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Definition at line 104 of file itkNormalizedCorrelationPointSetToImageMetric.h.
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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.
void itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::GetDerivative | ( | const TransformParametersType & | parameters, |
DerivativeType & | Derivative | ||
) | const |
Get the derivatives of the match measure.
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Run-time type information (and related methods).
Reimplemented from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >.
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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.
MeasureType itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::GetValue | ( | const TransformParametersType & | parameters | ) | const |
Get the value for single valued optimizers.
void itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::GetValueAndDerivative | ( | const TransformParametersType & | parameters, |
MeasureType & | Value, | ||
DerivativeType & | Derivative | ||
) | const |
Get value and derivatives for multiple valued optimizers.
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Method for creation through the object factory.
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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::CostFunction.
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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.
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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.
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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.
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Definition at line 113 of file itkNormalizedCorrelationPointSetToImageMetric.h.