ITK
5.2.0
Insight Toolkit
|
#include <itkNormalizedCorrelationPointSetToImageMetric.h>
Public Member Functions | |
virtual ::itk::LightObject::Pointer | CreateAnother () const |
void | GetDerivative (const TransformParametersType ¶meters, DerivativeType &derivative) const override |
virtual const char * | GetNameOfClass () const |
MeasureType | GetValue (const TransformParametersType ¶meters) const override |
void | GetValueAndDerivative (const TransformParametersType ¶meters, MeasureType &value, DerivativeType &derivative) const override |
Public Member Functions inherited from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage > | |
virtual void | SetFixedPointSet (const FixedPointSetType *_arg) |
virtual const FixedPointSetType * | GetFixedPointSet () const |
virtual void | SetMovingImage (const MovingImageType *_arg) |
virtual const MovingImageType * | GetMovingImage () const |
virtual void | SetTransform (TransformType *_arg) |
virtual TransformType * | GetModifiableTransform () |
virtual const TransformType * | GetTransform () const |
virtual void | SetInterpolator (InterpolatorType *_arg) |
virtual InterpolatorType * | GetModifiableInterpolator () |
virtual const InterpolatorType * | GetInterpolator () const |
virtual GradientImageType * | GetModifiableGradientImage () |
virtual const GradientImageType * | GetGradientImage () const |
virtual const SizeValueType & | GetNumberOfPixelsCounted () const |
void | SetTransformParameters (const ParametersType ¶meters) const |
virtual void | SetComputeGradient (bool _arg) |
virtual const bool & | GetComputeGradient () const |
unsigned int | GetNumberOfParameters () const override |
virtual void | Initialize () |
Public Member Functions inherited from itk::SingleValuedCostFunction | |
virtual void | GetDerivative (const ParametersType ¶meters, DerivativeType &derivative) const =0 |
virtual MeasureType | GetValue (const ParametersType ¶meters) const =0 |
virtual void | GetValueAndDerivative (const ParametersType ¶meters, MeasureType &value, DerivativeType &derivative) const |
Public Member Functions inherited from itk::Object | |
unsigned long | AddObserver (const EventObject &event, Command *) |
unsigned long | AddObserver (const EventObject &event, Command *) const |
unsigned long | AddObserver (const EventObject &event, std::function< void(const EventObject &)> function) const |
virtual void | DebugOff () const |
virtual void | DebugOn () const |
Command * | GetCommand (unsigned long tag) |
bool | GetDebug () const |
MetaDataDictionary & | GetMetaDataDictionary () |
const MetaDataDictionary & | GetMetaDataDictionary () const |
virtual ModifiedTimeType | GetMTime () const |
virtual const TimeStamp & | GetTimeStamp () const |
bool | HasObserver (const EventObject &event) const |
void | InvokeEvent (const EventObject &) |
void | InvokeEvent (const EventObject &) const |
virtual void | Modified () const |
void | Register () const override |
void | RemoveAllObservers () |
void | RemoveObserver (unsigned long tag) |
void | SetDebug (bool debugFlag) const |
void | SetReferenceCount (int) override |
void | UnRegister () const noexcept override |
void | SetMetaDataDictionary (const MetaDataDictionary &rhs) |
void | SetMetaDataDictionary (MetaDataDictionary &&rrhs) |
virtual void | SetObjectName (std::string _arg) |
virtual const std::string & | GetObjectName () const |
Public Member Functions inherited from itk::LightObject | |
Pointer | Clone () const |
virtual void | Delete () |
virtual int | GetReferenceCount () const |
void | Print (std::ostream &os, Indent indent=0) const |
Static Public Member Functions | |
static Pointer | New () |
Static Public Member Functions inherited from itk::Object | |
static bool | GetGlobalWarningDisplay () |
static void | GlobalWarningDisplayOff () |
static void | GlobalWarningDisplayOn () |
static Pointer | New () |
static void | SetGlobalWarningDisplay (bool val) |
Static Public Member Functions inherited from itk::LightObject | |
static void | BreakOnError () |
static Pointer | New () |
bool | m_SubtractMean |
virtual void | SetSubtractMean (bool _arg) |
virtual const bool & | GetSubtractMean () const |
virtual void | SubtractMeanOn () |
virtual void | SubtractMeanOff () |
NormalizedCorrelationPointSetToImageMetric () | |
~NormalizedCorrelationPointSetToImageMetric () override=default | |
void | PrintSelf (std::ostream &os, Indent indent) const override |
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.
using itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::ConstPointer = SmartPointer<const Self> |
Definition at line 54 of file itkNormalizedCorrelationPointSetToImageMetric.h.
using itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::DerivativeType = typename Superclass::DerivativeType |
Definition at line 71 of file itkNormalizedCorrelationPointSetToImageMetric.h.
using itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::FixedPointSetConstPointer = typename Superclass::FixedPointSetConstPointer |
Definition at line 74 of file itkNormalizedCorrelationPointSetToImageMetric.h.
using itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::FixedPointSetType = typename Superclass::FixedPointSetType |
Definition at line 72 of file itkNormalizedCorrelationPointSetToImageMetric.h.
using itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::GradientPixelType = typename Superclass::GradientPixelType |
Definition at line 68 of file itkNormalizedCorrelationPointSetToImageMetric.h.
using itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::InputPointType = typename Superclass::InputPointType |
Definition at line 79 of file itkNormalizedCorrelationPointSetToImageMetric.h.
using itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::MeasureType = typename Superclass::MeasureType |
Definition at line 70 of file itkNormalizedCorrelationPointSetToImageMetric.h.
using itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::MovingImageConstPointer = typename Superclass::MovingImageConstPointer |
Definition at line 75 of file itkNormalizedCorrelationPointSetToImageMetric.h.
using itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::MovingImageType = typename Superclass::MovingImageType |
Definition at line 73 of file itkNormalizedCorrelationPointSetToImageMetric.h.
using itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::OutputPointType = typename Superclass::OutputPointType |
Definition at line 80 of file itkNormalizedCorrelationPointSetToImageMetric.h.
using itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::PointDataIterator = typename Superclass::PointDataIterator |
Definition at line 78 of file itkNormalizedCorrelationPointSetToImageMetric.h.
using itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::Pointer = SmartPointer<Self> |
Definition at line 53 of file itkNormalizedCorrelationPointSetToImageMetric.h.
using itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::PointIterator = typename Superclass::PointIterator |
Definition at line 77 of file itkNormalizedCorrelationPointSetToImageMetric.h.
using itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::RealType = typename Superclass::RealType |
Types transferred from the base class
Definition at line 63 of file itkNormalizedCorrelationPointSetToImageMetric.h.
using itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::Self = NormalizedCorrelationPointSetToImageMetric |
Standard class type aliases.
Definition at line 51 of file itkNormalizedCorrelationPointSetToImageMetric.h.
using itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::Superclass = PointSetToImageMetric<TFixedPointSet, TMovingImage> |
Definition at line 52 of file itkNormalizedCorrelationPointSetToImageMetric.h.
using itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::TransformJacobianType = typename Superclass::TransformJacobianType |
Definition at line 67 of file itkNormalizedCorrelationPointSetToImageMetric.h.
using itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::TransformParametersType = typename Superclass::TransformParametersType |
Definition at line 66 of file itkNormalizedCorrelationPointSetToImageMetric.h.
using itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::TransformPointer = typename Superclass::TransformPointer |
Definition at line 65 of file itkNormalizedCorrelationPointSetToImageMetric.h.
using itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::TransformType = typename Superclass::TransformType |
Definition at line 64 of file itkNormalizedCorrelationPointSetToImageMetric.h.
|
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.
|
overrideprotecteddefault |
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.
|
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.
|
override |
Get the derivatives of the match measure.
|
virtual |
Run-time type information (and related methods).
Reimplemented from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >.
|
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.
|
override |
Get the value for single valued optimizers.
|
override |
Get value and derivatives for multiple valued optimizers.
|
static |
Method for creation through the object factory.
|
overrideprotectedvirtual |
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::CostFunctionTemplate< TInternalComputationValueType >.
|
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.
|
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.
|
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.
|
private |
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 112 of file itkNormalizedCorrelationPointSetToImageMetric.h.