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ITK
4.13.0
Insight Segmentation and Registration Toolkit
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#include <itkNormalizedCorrelationTwoImageToOneImageMetric.h>
Computes similarity between two fixed images and one moving image.
This metric computes the correlation between pixels in the two fixed images and pixels in the moving image. The spatial correspondance between two fixed images and the moving image is established through a Transform. Pixel values are taken from the fixed images, 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 user-selected Interpolators. The correlation is normalized by the autocorrelations of both the fixed and moving images.
Definition at line 44 of file itkNormalizedCorrelationTwoImageToOneImageMetric.h.
Public Member Functions | |
virtual ::itk::LightObject::Pointer | CreateAnother () const |
void | GetDerivative (const TransformParametersType ¶meters, DerivativeType &Derivative) const |
virtual const char * | GetNameOfClass () const |
MeasureType | GetValue (const TransformParametersType ¶meters) const |
void | GetValueAndDerivative (const TransformParametersType ¶meters, MeasureType &Value, DerivativeType &Derivative) const |
virtual void | SetSubtractMean (bool _arg) |
virtual const bool & | GetSubtractMean () const |
virtual void | SubtractMeanOn () |
virtual void | SubtractMeanOff () |
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virtual const FixedImageType * | GetFixedImage1 () const |
virtual const FixedImageType * | GetFixedImage2 () const |
virtual const FixedImageRegionType & | GetFixedImageRegion1 () const |
virtual const FixedImageRegionType & | GetFixedImageRegion2 () const |
virtual const GradientImageType * | GetGradientImage () const |
virtual const InterpolatorType * | GetInterpolator1 () const |
virtual const InterpolatorType * | GetInterpolator2 () const |
virtual const MovingImageType * | GetMovingImage () const |
unsigned int | GetNumberOfParameters () const |
virtual const unsigned long & | GetNumberOfPixelsCounted () const |
virtual const TransformType * | GetTransform () const |
virtual void | Initialize () |
virtual void | SetFixedImage1 (const FixedImageType *_arg) |
virtual void | SetFixedImage2 (const FixedImageType *_arg) |
virtual void | SetFixedImageRegion1 (FixedImageRegionType _arg) |
virtual void | SetFixedImageRegion2 (FixedImageRegionType _arg) |
virtual void | SetInterpolator1 (InterpolatorType *_arg) |
virtual void | SetInterpolator2 (InterpolatorType *_arg) |
virtual void | SetMovingImage (const MovingImageType *_arg) |
virtual void | SetTransform (TransformType *_arg) |
void | SetTransformParameters (const ParametersType ¶meters) const |
virtual void | SetMovingImageMask (MovingImageMaskType *_arg) |
virtual const MovingImageMaskType * | GetMovingImageMask () const |
virtual void | SetFixedImageMask1 (FixedImageMaskType *_arg) |
virtual void | SetFixedImageMask2 (FixedImageMaskType *_arg) |
virtual const FixedImageMaskType * | GetFixedImageMask1 () const |
virtual const FixedImageMaskType * | GetFixedImageMask2 () const |
virtual void | SetComputeGradient (bool _arg) |
virtual const bool & | GetComputeGradient () const |
virtual void | ComputeGradientOn () |
virtual void | ComputeGradientOff () |
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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 |
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unsigned long | AddObserver (const EventObject &event, Command *) |
unsigned long | AddObserver (const EventObject &event, Command *) 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 |
virtual void | Register () const override |
void | RemoveAllObservers () |
void | RemoveObserver (unsigned long tag) |
void | SetDebug (bool debugFlag) const |
void | SetMetaDataDictionary (const MetaDataDictionary &rhs) |
virtual void | SetReferenceCount (int) override |
virtual void | UnRegister () const noexceptoverride |
virtual void | SetObjectName (std::string _arg) |
virtual const std::string & | GetObjectName () const |
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virtual void | Delete () |
virtual int | GetReferenceCount () const |
itkCloneMacro (Self) | |
void | Print (std::ostream &os, Indent indent=0) const |
Static Public Member Functions | |
static Pointer | New () |
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static bool | GetGlobalWarningDisplay () |
static void | GlobalWarningDisplayOff () |
static void | GlobalWarningDisplayOn () |
static Pointer | New () |
static void | SetGlobalWarningDisplay (bool flag) |
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static void | BreakOnError () |
static Pointer | New () |
Protected Member Functions | |
NormalizedCorrelationTwoImageToOneImageMetric () | |
virtual void | PrintSelf (std::ostream &os, Indent indent) const |
virtual | ~NormalizedCorrelationTwoImageToOneImageMetric () |
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TwoImageToOneImageMetric () | |
virtual | ~TwoImageToOneImageMetric () |
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SingleValuedCostFunction () | |
virtual | ~SingleValuedCostFunction () override |
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CostFunctionTemplate () | |
virtual | ~CostFunctionTemplate () override |
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Object () | |
bool | PrintObservers (std::ostream &os, Indent indent) const |
virtual void | SetTimeStamp (const TimeStamp &time) |
virtual | ~Object () override |
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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 | |
NormalizedCorrelationTwoImageToOneImageMetric (const Self &) | |
void | operator= (const Self &) |
Private Attributes | |
bool | m_SubtractMean |
Additional Inherited Members | |
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static const unsigned int | MovingImageDimension = TMovingImage::ImageDimension |
static const unsigned int | FixedImageDimension = TFixedImage::ImageDimension |
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bool | m_ComputeGradient |
FixedImageConstPointer | m_FixedImage1 |
FixedImageConstPointer | m_FixedImage2 |
FixedImageMaskPointer | m_FixedImageMask1 |
FixedImageMaskPointer | m_FixedImageMask2 |
GradientImagePointer | m_GradientImage |
InterpolatorPointer | m_Interpolator1 |
InterpolatorPointer | m_Interpolator2 |
MovingImageConstPointer | m_MovingImage |
MovingImageMaskPointer | m_MovingImageMask |
unsigned long | m_NumberOfPixelsCounted |
TransformPointer | m_Transform |
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AtomicInt< int > | m_ReferenceCount |
typedef SmartPointer<const Self> itk::NormalizedCorrelationTwoImageToOneImageMetric< TFixedImage, TMovingImage >::ConstPointer |
Definition at line 53 of file itkNormalizedCorrelationTwoImageToOneImageMetric.h.
typedef Superclass::DerivativeType itk::NormalizedCorrelationTwoImageToOneImageMetric< TFixedImage, TMovingImage >::DerivativeType |
Definition at line 71 of file itkNormalizedCorrelationTwoImageToOneImageMetric.h.
typedef Superclass::FixedImageConstPointer itk::NormalizedCorrelationTwoImageToOneImageMetric< TFixedImage, TMovingImage >::FixedImageConstPointer |
Definition at line 74 of file itkNormalizedCorrelationTwoImageToOneImageMetric.h.
typedef Superclass::FixedImageType itk::NormalizedCorrelationTwoImageToOneImageMetric< TFixedImage, TMovingImage >::FixedImageType |
Definition at line 72 of file itkNormalizedCorrelationTwoImageToOneImageMetric.h.
typedef Superclass::GradientPixelType itk::NormalizedCorrelationTwoImageToOneImageMetric< TFixedImage, TMovingImage >::GradientPixelType |
Definition at line 68 of file itkNormalizedCorrelationTwoImageToOneImageMetric.h.
typedef Superclass::MeasureType itk::NormalizedCorrelationTwoImageToOneImageMetric< TFixedImage, TMovingImage >::MeasureType |
Definition at line 70 of file itkNormalizedCorrelationTwoImageToOneImageMetric.h.
typedef Superclass::MovingImageConstPointer itk::NormalizedCorrelationTwoImageToOneImageMetric< TFixedImage, TMovingImage >::MovingImageConstPointer |
Definition at line 75 of file itkNormalizedCorrelationTwoImageToOneImageMetric.h.
typedef Superclass::MovingImageType itk::NormalizedCorrelationTwoImageToOneImageMetric< TFixedImage, TMovingImage >::MovingImageType |
Definition at line 73 of file itkNormalizedCorrelationTwoImageToOneImageMetric.h.
typedef SmartPointer<Self> itk::NormalizedCorrelationTwoImageToOneImageMetric< TFixedImage, TMovingImage >::Pointer |
Definition at line 52 of file itkNormalizedCorrelationTwoImageToOneImageMetric.h.
typedef Superclass::RealType itk::NormalizedCorrelationTwoImageToOneImageMetric< TFixedImage, TMovingImage >::RealType |
Types transferred from the base class
Definition at line 59 of file itkNormalizedCorrelationTwoImageToOneImageMetric.h.
typedef NormalizedCorrelationTwoImageToOneImageMetric itk::NormalizedCorrelationTwoImageToOneImageMetric< TFixedImage, TMovingImage >::Self |
Standard class typedefs.
Definition at line 49 of file itkNormalizedCorrelationTwoImageToOneImageMetric.h.
typedef TwoImageToOneImageMetric<TFixedImage, TMovingImage > itk::NormalizedCorrelationTwoImageToOneImageMetric< TFixedImage, TMovingImage >::Superclass |
Definition at line 50 of file itkNormalizedCorrelationTwoImageToOneImageMetric.h.
typedef Superclass::TransformJacobianType itk::NormalizedCorrelationTwoImageToOneImageMetric< TFixedImage, TMovingImage >::TransformJacobianType |
Definition at line 67 of file itkNormalizedCorrelationTwoImageToOneImageMetric.h.
typedef Superclass::TransformParametersType itk::NormalizedCorrelationTwoImageToOneImageMetric< TFixedImage, TMovingImage >::TransformParametersType |
Definition at line 66 of file itkNormalizedCorrelationTwoImageToOneImageMetric.h.
typedef Superclass::TransformPointer itk::NormalizedCorrelationTwoImageToOneImageMetric< TFixedImage, TMovingImage >::TransformPointer |
Definition at line 65 of file itkNormalizedCorrelationTwoImageToOneImageMetric.h.
typedef Superclass::TransformType itk::NormalizedCorrelationTwoImageToOneImageMetric< TFixedImage, TMovingImage >::TransformType |
Definition at line 64 of file itkNormalizedCorrelationTwoImageToOneImageMetric.h.
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Definition at line 100 of file itkNormalizedCorrelationTwoImageToOneImageMetric.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::NormalizedCorrelationTwoImageToOneImageMetric< TFixedImage, 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::TwoImageToOneImageMetric< TFixedImage, 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 fucntion. Default value is false.
MeasureType itk::NormalizedCorrelationTwoImageToOneImageMetric< TFixedImage, TMovingImage >::GetValue | ( | const TransformParametersType & | parameters | ) | const |
Get the value for single valued optimizers.
void itk::NormalizedCorrelationTwoImageToOneImageMetric< TFixedImage, 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::TwoImageToOneImageMetric< TFixedImage, 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 fucntion. 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 fucntion. 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 fucntion. Default value is false.
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Definition at line 107 of file itkNormalizedCorrelationTwoImageToOneImageMetric.h.