ITK
6.0.0
Insight Toolkit
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#include <itkFFTNormalizedCorrelationImageFilter.h>
Calculate normalized cross correlation using FFTs.
This filter calculates the normalized cross correlation (NCC) of two images using FFTs instead of spatial correlation. It is much faster than spatial correlation for reasonably large structuring elements. This filter is a subclass of the more general MaskedFFTNormalizedCorrelationImageFilter and operates by essentially setting the masks in that algorithm to images of ones. As described in detail in the references below, there is no computational overhead to utilizing the more general masked algorithm because the FFTs of the images of ones are still necessary for the computations.
Inputs: Two images are required as inputs, fixedImage and movingImage. In the context of correlation, inputs are often defined as: "image" and "template". In this filter, the fixedImage plays the role of the image, and the movingImage plays the role of the template. However, this filter is capable of correlating any two images and is not restricted to small movingImages (templates).
Optional parameters: The RequiredNumberOfOverlappingPixels enables the user to specify how many voxels of the two images must overlap; any location in the correlation map that results from fewer than this number of voxels will be set to zero. Larger values zero-out pixels on a larger border around the correlation image. Thus, larger values remove less stable computations but also limit the capture range. If RequiredNumberOfOverlappingPixels is set to 0, the default, no zeroing will take place.
Image size: fixedImage and movingImage need not be the same size. Furthermore, whereas some algorithms require that the "template" be smaller than the "image" because of errors in the regions where the two are not fully overlapping, this filter has no such restriction.
Image spacing: Since the computations are done in the pixel domain, all input images must have the same spacing.
Outputs; The output is an image of RealPixelType that is the NCC of the two images and its values range from -1.0 to 1.0. The size of this NCC image is, by definition, size(fixedImage) + size(movingImage) - 1.
Example filter usage:
References: 1) D. Padfield. "Masked object registration in the Fourier domain." Transactions on Image Processing. 2) D. Padfield. "Masked FFT registration". In Proc. Computer Vision and Pattern Recognition, 2010.
Definition at line 103 of file itkFFTNormalizedCorrelationImageFilter.h.
Static Public Member Functions | |
static Pointer | New () |
Static Public Member Functions inherited from itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage > | |
static Pointer | New () |
Static Public Member Functions inherited from itk::ImageToImageFilter< TInputImage, TOutputImage > | |
static double | GetGlobalDefaultCoordinateTolerance () |
static double | GetGlobalDefaultDirectionTolerance () |
static void | SetGlobalDefaultCoordinateTolerance (double) |
static void | SetGlobalDefaultDirectionTolerance (double) |
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 () |
Static Public Attributes | |
static constexpr unsigned int | ImageDimension = TOutputImage::ImageDimension |
Static Public Attributes inherited from itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage > | |
static constexpr unsigned int | ImageDimension |
Static Public Attributes inherited from itk::ImageToImageFilter< TInputImage, TOutputImage > | |
static constexpr unsigned int | InputImageDimension = TInputImage::ImageDimension |
static constexpr unsigned int | OutputImageDimension = TOutputImage::ImageDimension |
Static Public Attributes inherited from itk::ImageSource< TOutputImage > | |
static constexpr unsigned int | OutputImageDimension = TOutputImage::ImageDimension |
using itk::FFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage >::ConstPointer = SmartPointer<const Self> |
Definition at line 113 of file itkFFTNormalizedCorrelationImageFilter.h.
using itk::FFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage >::InputImageConstPointer = typename InputImageType::ConstPointer |
Definition at line 130 of file itkFFTNormalizedCorrelationImageFilter.h.
using itk::FFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage >::InputImagePointer = typename InputImageType::Pointer |
Definition at line 129 of file itkFFTNormalizedCorrelationImageFilter.h.
using itk::FFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage >::InputImageType = TInputImage |
Extract some information from the image types.
Definition at line 126 of file itkFFTNormalizedCorrelationImageFilter.h.
using itk::FFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage >::InputRegionType = typename InputImageType::RegionType |
Definition at line 128 of file itkFFTNormalizedCorrelationImageFilter.h.
using itk::FFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage >::InputSizeType = typename InputImageType::SizeType |
Definition at line 131 of file itkFFTNormalizedCorrelationImageFilter.h.
using itk::FFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage >::OutputImagePointer = typename OutputImageType::Pointer |
Definition at line 132 of file itkFFTNormalizedCorrelationImageFilter.h.
using itk::FFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage >::OutputImageType = TOutputImage |
Definition at line 127 of file itkFFTNormalizedCorrelationImageFilter.h.
using itk::FFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage >::OutputPixelType = typename OutputImageType::PixelType |
Definition at line 133 of file itkFFTNormalizedCorrelationImageFilter.h.
using itk::FFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage >::Pointer = SmartPointer<Self> |
Definition at line 112 of file itkFFTNormalizedCorrelationImageFilter.h.
using itk::FFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage >::Self = FFTNormalizedCorrelationImageFilter |
Standard class type aliases.
Definition at line 110 of file itkFFTNormalizedCorrelationImageFilter.h.
using itk::FFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage >::Superclass = MaskedFFTNormalizedCorrelationImageFilter<TInputImage, TOutputImage> |
Definition at line 111 of file itkFFTNormalizedCorrelationImageFilter.h.
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inlineprotected |
Definition at line 136 of file itkFFTNormalizedCorrelationImageFilter.h.
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overrideprotecteddefault |
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overrideprotectedvirtual |
Standard pipeline method.
Reimplemented from itk::ImageSource< TOutputImage >.
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overridevirtual |
Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
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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::ImageToImageFilter< TInputImage, TOutputImage >.
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staticconstexpr |
Extract some information from the image types. Dimensionality of the two images is assumed to be the same.
Definition at line 123 of file itkFFTNormalizedCorrelationImageFilter.h.