ITK
4.2.0
Insight Segmentation and Registration Toolkit
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#include <itkNormalizedCorrelationPointSetToImageMetric.h>
Public Types | |
typedef SmartPointer< const Self > | ConstPointer |
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< Self > | Pointer |
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 |
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 |
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.
typedef SmartPointer< const Self > itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::ConstPointer |
Reimplemented from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >.
Definition at line 53 of file itkNormalizedCorrelationPointSetToImageMetric.h.
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.
typedef Superclass::FixedPointSetConstPointer itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::FixedPointSetConstPointer |
Reimplemented from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >.
Definition at line 74 of file itkNormalizedCorrelationPointSetToImageMetric.h.
typedef Superclass::FixedPointSetType itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::FixedPointSetType |
Type of the fixed Image.
Reimplemented from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >.
Definition at line 72 of file itkNormalizedCorrelationPointSetToImageMetric.h.
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.
typedef Superclass::InputPointType itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::InputPointType |
Reimplemented from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >.
Definition at line 79 of file itkNormalizedCorrelationPointSetToImageMetric.h.
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.
typedef Superclass::MovingImageConstPointer itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::MovingImageConstPointer |
Reimplemented from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >.
Definition at line 75 of file itkNormalizedCorrelationPointSetToImageMetric.h.
typedef Superclass::MovingImageType itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::MovingImageType |
Type of the moving Image.
Reimplemented from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >.
Definition at line 73 of file itkNormalizedCorrelationPointSetToImageMetric.h.
typedef Superclass::OutputPointType itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::OutputPointType |
Reimplemented from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >.
Definition at line 80 of file itkNormalizedCorrelationPointSetToImageMetric.h.
typedef Superclass::PointDataIterator itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::PointDataIterator |
Reimplemented from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >.
Definition at line 78 of file itkNormalizedCorrelationPointSetToImageMetric.h.
typedef SmartPointer< Self > itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::Pointer |
Reimplemented from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >.
Definition at line 52 of file itkNormalizedCorrelationPointSetToImageMetric.h.
typedef Superclass::PointIterator itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::PointIterator |
Reimplemented from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >.
Definition at line 77 of file itkNormalizedCorrelationPointSetToImageMetric.h.
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.
typedef NormalizedCorrelationPointSetToImageMetric itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::Self |
Standard class typedefs.
Reimplemented from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >.
Definition at line 50 of file itkNormalizedCorrelationPointSetToImageMetric.h.
typedef PointSetToImageMetric< TFixedPointSet, TMovingImage > itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::Superclass |
Reimplemented from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >.
Definition at line 51 of file itkNormalizedCorrelationPointSetToImageMetric.h.
typedef Superclass::TransformJacobianType itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::TransformJacobianType |
Reimplemented from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >.
Definition at line 67 of file itkNormalizedCorrelationPointSetToImageMetric.h.
typedef Superclass::TransformParametersType itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::TransformParametersType |
Reimplemented from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >.
Definition at line 66 of file itkNormalizedCorrelationPointSetToImageMetric.h.
typedef Superclass::TransformPointer itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::TransformPointer |
Reimplemented from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >.
Definition at line 65 of file itkNormalizedCorrelationPointSetToImageMetric.h.
typedef Superclass::TransformType itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::TransformType |
Type of the Transform Base class
Reimplemented from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >.
Definition at line 64 of file itkNormalizedCorrelationPointSetToImageMetric.h.
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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.
Definition at line 102 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.
Reimplemented from itk::Object.
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Mutex lock to protect modification to the reference count
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.
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.
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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 112 of file itkNormalizedCorrelationPointSetToImageMetric.h.