ITK
5.0.0
Insight Segmentation and Registration Toolkit
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#include <itkNormalizedCorrelationImageToImageMetric.h>
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.
A more negative metric value indicates a greater degree of correlation between the fixed and moving image. This makes the metric simpler to use with optimizers that strive to minimize their cost function by default.
Definition at line 46 of file itkNormalizedCorrelationImageToImageMetric.h.
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 flag) |
Static Public Member Functions inherited from itk::LightObject | |
static void | BreakOnError () |
static Pointer | New () |
Private Attributes | |
bool | m_SubtractMean |
using itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::ConstPointer = SmartPointer< const Self > |
Definition at line 56 of file itkNormalizedCorrelationImageToImageMetric.h.
using itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::DerivativeType = typename Superclass::DerivativeType |
Definition at line 75 of file itkNormalizedCorrelationImageToImageMetric.h.
using itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::FixedImageConstPointer = typename Superclass::FixedImageConstPointer |
Definition at line 78 of file itkNormalizedCorrelationImageToImageMetric.h.
using itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::FixedImageType = typename Superclass::FixedImageType |
Definition at line 76 of file itkNormalizedCorrelationImageToImageMetric.h.
using itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::GradientPixelType = typename Superclass::GradientPixelType |
Definition at line 70 of file itkNormalizedCorrelationImageToImageMetric.h.
using itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::InputPointType = typename Superclass::InputPointType |
Definition at line 72 of file itkNormalizedCorrelationImageToImageMetric.h.
using itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::MeasureType = typename Superclass::MeasureType |
Definition at line 74 of file itkNormalizedCorrelationImageToImageMetric.h.
using itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::MovingImageConstPointer = typename Superclass::MovingImageConstPointer |
Definition at line 79 of file itkNormalizedCorrelationImageToImageMetric.h.
using itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::MovingImageType = typename Superclass::MovingImageType |
Definition at line 77 of file itkNormalizedCorrelationImageToImageMetric.h.
using itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::OutputPointType = typename Superclass::OutputPointType |
Definition at line 71 of file itkNormalizedCorrelationImageToImageMetric.h.
using itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::Pointer = SmartPointer< Self > |
Definition at line 55 of file itkNormalizedCorrelationImageToImageMetric.h.
using itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::RealType = typename Superclass::RealType |
Types transferred from the base class
Definition at line 65 of file itkNormalizedCorrelationImageToImageMetric.h.
using itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::Self = NormalizedCorrelationImageToImageMetric |
Standard class type aliases.
Definition at line 53 of file itkNormalizedCorrelationImageToImageMetric.h.
using itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::Superclass = ImageToImageMetric< TFixedImage, TMovingImage > |
Definition at line 54 of file itkNormalizedCorrelationImageToImageMetric.h.
using itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::TransformJacobianType = typename Superclass::TransformJacobianType |
Definition at line 69 of file itkNormalizedCorrelationImageToImageMetric.h.
using itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::TransformParametersType = typename Superclass::TransformParametersType |
Definition at line 68 of file itkNormalizedCorrelationImageToImageMetric.h.
using itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::TransformPointer = typename Superclass::TransformPointer |
Definition at line 67 of file itkNormalizedCorrelationImageToImageMetric.h.
using itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::TransformType = typename Superclass::TransformType |
Definition at line 66 of file itkNormalizedCorrelationImageToImageMetric.h.
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protected |
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overrideprotecteddefault |
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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.
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Get the derivatives of the match measure.
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Run-time type information (and related methods).
Reimplemented from itk::ImageToImageMetric< 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 function. Default value is false.
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Get the value for single valued optimizers.
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Get value and derivatives for multiple valued optimizers.
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static |
Method for creation through the object factory.
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overrideprotectedvirtual |
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::ImageToImageMetric< 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 function. Default value is false.
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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.
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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.
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private |
Definition at line 107 of file itkNormalizedCorrelationImageToImageMetric.h.