ITK
4.8.0
Insight Segmentation and Registration Toolkit
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#include <itkMaskedFFTNormalizedCorrelationImageFilter.h>
Calculate masked normalized cross correlation using FFTs.
This filter calculates the masked normalized cross correlation (NCC) of two images under masks using FFTs instead of spatial correlation. It is much faster than spatial correlation for reasonably large structuring elements. This filter is not equivalent to simply masking the images first and then correlating them; the latter approach yields incorrect results because the zeros in the images still affect the metric in the correlation process. This filter implements the masked NCC correctly so that the masked-out regions are completely ignored. The fundamental difference is described in detail in the references below. If the masks are set to images of all ones, the result of this filter is the same as standard NCC.
Inputs: Two images are required as inputs, fixedImage and movingImage, and two are optional, fixedMask and movingMask. 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). In the fixedMask and movingMask, non-zero positive values indicate locations of useful information in the corresponding image, whereas zero and negative values indicate locations that should be masked out (ignored). Internally, the masks are converted to have values of only 0 and 1. For each optional mask that is not set, the filter internally creates an image of ones, which is equivalent to not masking the image. Thus, if both masks are not set, the result will be equivalent to unmasked NCC. For example, if only a mask for the fixed image is needed, the movingMask can either not be set or can be set to an image of ones.
Optional parameters: The RequiredNumberOfOverlappingPixels enables the user to specify the minimum number of voxels of the two masks that 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.
The RequiredFractionOfOverlappingPixels enables the user to specify a fraction of the maximum number of overlapping pixels that need to overlap; any location in the correlation map that results from fewer than the product of this fraction and the internally computed maximum number of overlapping pixels will be set to zero. The value ranges between 0.0 and 1.0. This is very useful when the user does does not know beforehand the maximum number of pixels of the masks that will overlap. For example, when the masks have strange shapes, it is difficult to predict how the correlation of the masks will interact and what the maximum overlap will be. It is also useful when the mask shapes or sizes change because it is relative to the internally computed maximum of the overlap. 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. Experiments have shown that a value between 0.1 and 0.6 works well for images with significant overlap and between 0.05 and 0.1 for images with little overlap (such as in stitching applications). If RequiredFractionOfOverlappingPixels is set to 0, the default, no zeroing will take place.
The user can either specify RequiredNumberOfOverlappingPixels or RequiredFractionOfOverlappingPixels (or both or none). Internally, the number of required pixels resulting from both of these methods is calculated and the one that gives the largest number of pixels is chosen. Since these both default to 0, if a user only sets one, the other is ignored.
Image size: fixedImage and movingImage need not be the same size, but fixedMask must be the same size as fixedImage, and movingMask must be the same size as movingImage. 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 masked 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 140 of file itkMaskedFFTNormalizedCorrelationImageFilter.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 () |
Static Public Attributes | |
static const unsigned int | ImageDimension = TOutputImage::ImageDimension |
Static Public Attributes inherited from itk::ImageToImageFilter< TInputImage, TOutputImage > | |
static const unsigned int | InputImageDimension = TInputImage::ImageDimension |
static const unsigned int | OutputImageDimension = TOutputImage::ImageDimension |
Static Public Attributes inherited from itk::ImageSource< TOutputImage > | |
static const unsigned int | OutputImageDimension = TOutputImage::ImageDimension |
Protected Member Functions | |
template<typename LocalInputImageType , typename LocalOutputImageType > | |
LocalOutputImageType::Pointer | CalculateForwardFFT (LocalInputImageType *inputImage, InputSizeType &FFTImageSize) |
template<typename LocalInputImageType , typename LocalOutputImageType > | |
LocalOutputImageType::Pointer | CalculateInverseFFT (LocalInputImageType *inputImage, RealSizeType &combinedImageSize) |
template<typename LocalInputImageType > | |
double | CalculatePrecisionTolerance (LocalInputImageType *inputImage) |
template<typename LocalInputImageType > | |
LocalInputImageType::Pointer | ElementPositive (LocalInputImageType *inputImage) |
template<typename LocalInputImageType , typename LocalOutputImageType > | |
LocalOutputImageType::Pointer | ElementProduct (LocalInputImageType *inputImage1, LocalInputImageType *inputImage2) |
template<typename LocalInputImageType > | |
LocalInputImageType::Pointer | ElementQuotient (LocalInputImageType *inputImage1, LocalInputImageType *inputImage2) |
template<typename LocalInputImageType , typename LocalOutputImageType > | |
LocalOutputImageType::Pointer | ElementRound (LocalInputImageType *inputImage) |
template<typename LocalInputImageType > | |
LocalInputImageType::Pointer | ElementSubtraction (LocalInputImageType *inputImage1, LocalInputImageType *inputImage2) |
void | EnlargeOutputRequestedRegion (DataObject *output) override |
int | FactorizeNumber (int n) |
int | FindClosestValidDimension (int n) |
void | GenerateData () override |
virtual void | GenerateInputRequestedRegion () override |
void | GenerateOutputInformation () override |
MaskedFFTNormalizedCorrelationImageFilter () | |
TInputImage::Pointer | PreProcessImage (const InputImageType *inputImage, const MaskImageType *inputMask) |
TMaskImage::Pointer | PreProcessMask (const InputImageType *inputImage, const MaskImageType *inputMask) |
void | PrintSelf (std::ostream &os, Indent indent) const override |
template<typename LocalInputImageType > | |
LocalInputImageType::Pointer | RotateImage (LocalInputImageType *inputImage) |
void | VerifyInputInformation () override |
virtual | ~MaskedFFTNormalizedCorrelationImageFilter () |
Protected Member Functions inherited from itk::ImageToImageFilter< TInputImage, TOutputImage > | |
virtual void | CallCopyInputRegionToOutputRegion (OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion) |
virtual void | CallCopyOutputRegionToInputRegion (InputImageRegionType &destRegion, const OutputImageRegionType &srcRegion) |
ImageToImageFilter () | |
~ImageToImageFilter () | |
void | PushBackInput (const DataObject *input) override |
void | PushFrontInput (const DataObject *input) override |
Protected Member Functions inherited from itk::ImageSource< TOutputImage > | |
virtual void | AfterThreadedGenerateData () |
virtual void | AllocateOutputs () |
virtual void | BeforeThreadedGenerateData () |
virtual const ImageRegionSplitterBase * | GetImageRegionSplitter () const |
ImageSource () | |
virtual unsigned int | SplitRequestedRegion (unsigned int i, unsigned int pieces, OutputImageRegionType &splitRegion) |
virtual void | ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, ThreadIdType threadId) |
virtual | ~ImageSource () |
Protected Member Functions inherited from itk::ProcessObject | |
virtual void | AddInput (DataObject *input) |
virtual void | AddOutput (DataObject *output) |
bool | AddRequiredInputName (const DataObjectIdentifierType &) |
bool | AddRequiredInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx) |
virtual void | CacheInputReleaseDataFlags () |
virtual void | GenerateOutputRequestedRegion (DataObject *output) |
DataObject * | GetInput (const DataObjectIdentifierType &key) |
const DataObject * | GetInput (const DataObjectIdentifierType &key) const |
virtual const DataObjectPointerArraySizeType & | GetNumberOfRequiredInputs () const |
virtual const DataObjectPointerArraySizeType & | GetNumberOfRequiredOutputs () const |
bool | IsIndexedInputName (const DataObjectIdentifierType &) const |
bool | IsIndexedOutputName (const DataObjectIdentifierType &) const |
bool | IsRequiredInputName (const DataObjectIdentifierType &) const |
itkLegacyMacro (virtual void RemoveOutput(DataObject *output)) | |
itkLegacyMacro (void SetNumberOfOutputs(DataObjectPointerArraySizeType num)) | |
itkLegacyMacro (virtual void RemoveInput(DataObject *input)) | |
itkLegacyMacro (void SetNumberOfInputs(DataObjectPointerArraySizeType num)) | |
DataObjectPointerArraySizeType | MakeIndexFromInputName (const DataObjectIdentifierType &name) const |
DataObjectPointerArraySizeType | MakeIndexFromOutputName (const DataObjectIdentifierType &name) const |
DataObjectIdentifierType | MakeNameFromInputIndex (DataObjectPointerArraySizeType idx) const |
DataObjectIdentifierType | MakeNameFromOutputIndex (DataObjectPointerArraySizeType idx) const |
ProcessObject () | |
virtual void | PropagateResetPipeline () |
virtual void | ReleaseInputs () |
virtual void | RemoveInput (const DataObjectIdentifierType &key) |
virtual void | RemoveInput (DataObjectPointerArraySizeType) |
virtual void | RemoveOutput (const DataObjectIdentifierType &key) |
virtual void | RemoveOutput (DataObjectPointerArraySizeType idx) |
bool | RemoveRequiredInputName (const DataObjectIdentifierType &) |
virtual void | RestoreInputReleaseDataFlags () |
virtual void | SetInput (const DataObjectIdentifierType &key, DataObject *input) |
virtual void | SetNthInput (DataObjectPointerArraySizeType num, DataObject *input) |
virtual void | SetNthOutput (DataObjectPointerArraySizeType num, DataObject *output) |
void | SetNumberOfIndexedInputs (DataObjectPointerArraySizeType num) |
void | SetNumberOfIndexedOutputs (DataObjectPointerArraySizeType num) |
virtual void | SetNumberOfRequiredInputs (DataObjectPointerArraySizeType) |
virtual void | SetNumberOfRequiredOutputs (DataObjectPointerArraySizeType _arg) |
virtual void | SetOutput (const DataObjectIdentifierType &key, DataObject *output) |
virtual void | SetPrimaryInput (DataObject *input) |
virtual void | SetPrimaryOutput (DataObject *output) |
void | SetRequiredInputNames (const NameArray &) |
virtual void | VerifyPreconditions () |
~ProcessObject () | |
DataObject * | GetInput (DataObjectPointerArraySizeType idx) |
const DataObject * | GetInput (DataObjectPointerArraySizeType idx) const |
DataObject * | GetPrimaryInput () |
const DataObject * | GetPrimaryInput () const |
virtual void | SetPrimaryInputName (const DataObjectIdentifierType &key) |
virtual const char * | GetPrimaryInputName (void) const |
DataObject * | GetOutput (const DataObjectIdentifierType &key) |
const DataObject * | GetOutput (const DataObjectIdentifierType &key) const |
virtual void | SetPrimaryOutputName (const DataObjectIdentifierType &key) |
virtual const char * | GetPrimaryOutputName (void) const |
DataObject * | GetOutput (DataObjectPointerArraySizeType idx) |
const DataObject * | GetOutput (DataObjectPointerArraySizeType idx) const |
DataObject * | GetPrimaryOutput () |
const DataObject * | GetPrimaryOutput () const |
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 | |
MaskedFFTNormalizedCorrelationImageFilter (const Self &) | |
void | operator= (const Self &) |
Private Attributes | |
float | m_AccumulatedProgress |
SizeValueType | m_MaximumNumberOfOverlappingPixels |
RealPixelType | m_RequiredFractionOfOverlappingPixels |
SizeValueType | m_RequiredNumberOfOverlappingPixels |
const unsigned int | m_TotalForwardAndInverseFFTs |
Additional Inherited Members | |
Protected Types inherited from itk::ImageToImageFilter< TInputImage, TOutputImage > | |
typedef ImageToImageFilterDetail::ImageRegionCopier < itkGetStaticConstMacro(OutputImageDimension), itkGetStaticConstMacro(InputImageDimension) > | InputToOutputRegionCopierType |
typedef ImageToImageFilterDetail::ImageRegionCopier < itkGetStaticConstMacro(InputImageDimension), itkGetStaticConstMacro(OutputImageDimension) > | OutputToInputRegionCopierType |
Static Protected Member Functions inherited from itk::ImageSource< TOutputImage > | |
static const ImageRegionSplitterBase * | GetGlobalDefaultSplitter () |
static ITK_THREAD_RETURN_TYPE | ThreaderCallback (void *arg) |
Protected Attributes inherited from itk::ProcessObject | |
TimeStamp | m_OutputInformationMTime |
bool | m_Updating |
Protected Attributes inherited from itk::LightObject | |
AtomicInt< int > | m_ReferenceCount |
typedef SmartPointer<const Self> itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage, TMaskImage >::ConstPointer |
Definition at line 148 of file itkMaskedFFTNormalizedCorrelationImageFilter.h.
typedef FFTImageType::Pointer itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage, TMaskImage >::FFTImagePointer |
Definition at line 185 of file itkMaskedFFTNormalizedCorrelationImageFilter.h.
typedef Image< std::complex<RealPixelType>, ImageDimension > itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage, TMaskImage >::FFTImageType |
Definition at line 184 of file itkMaskedFFTNormalizedCorrelationImageFilter.h.
typedef InputImageType::ConstPointer itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage, TMaskImage >::InputImageConstPointer |
Definition at line 165 of file itkMaskedFFTNormalizedCorrelationImageFilter.h.
typedef InputImageType::Pointer itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage, TMaskImage >::InputImagePointer |
Definition at line 164 of file itkMaskedFFTNormalizedCorrelationImageFilter.h.
typedef TInputImage itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage, TMaskImage >::InputImageType |
Extract some information from the image types.
Definition at line 162 of file itkMaskedFFTNormalizedCorrelationImageFilter.h.
typedef InputImageType::RegionType itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage, TMaskImage >::InputRegionType |
Definition at line 163 of file itkMaskedFFTNormalizedCorrelationImageFilter.h.
typedef InputImageType::SizeType itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage, TMaskImage >::InputSizeType |
Definition at line 166 of file itkMaskedFFTNormalizedCorrelationImageFilter.h.
typedef MaskImageType::Pointer itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage, TMaskImage >::MaskImagePointer |
Definition at line 182 of file itkMaskedFFTNormalizedCorrelationImageFilter.h.
typedef TMaskImage itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage, TMaskImage >::MaskImageType |
Definition at line 181 of file itkMaskedFFTNormalizedCorrelationImageFilter.h.
typedef OutputImageType::Pointer itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage, TMaskImage >::OutputImagePointer |
Definition at line 170 of file itkMaskedFFTNormalizedCorrelationImageFilter.h.
typedef TOutputImage itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage, TMaskImage >::OutputImageType |
Definition at line 169 of file itkMaskedFFTNormalizedCorrelationImageFilter.h.
typedef OutputImageType::PixelType itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage, TMaskImage >::OutputPixelType |
Definition at line 171 of file itkMaskedFFTNormalizedCorrelationImageFilter.h.
typedef SmartPointer<Self> itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage, TMaskImage >::Pointer |
Definition at line 147 of file itkMaskedFFTNormalizedCorrelationImageFilter.h.
typedef RealImageType::Pointer itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage, TMaskImage >::RealImagePointer |
Definition at line 175 of file itkMaskedFFTNormalizedCorrelationImageFilter.h.
typedef Image< RealPixelType, ImageDimension> itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage, TMaskImage >::RealImageType |
Definition at line 174 of file itkMaskedFFTNormalizedCorrelationImageFilter.h.
typedef RealImageType::IndexType itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage, TMaskImage >::RealIndexType |
Definition at line 176 of file itkMaskedFFTNormalizedCorrelationImageFilter.h.
typedef OutputPixelType itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage, TMaskImage >::RealPixelType |
Definition at line 173 of file itkMaskedFFTNormalizedCorrelationImageFilter.h.
typedef RealImageType::PointType itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage, TMaskImage >::RealPointType |
Definition at line 179 of file itkMaskedFFTNormalizedCorrelationImageFilter.h.
typedef RealImageType::RegionType itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage, TMaskImage >::RealRegionType |
Definition at line 178 of file itkMaskedFFTNormalizedCorrelationImageFilter.h.
typedef RealImageType::SizeType itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage, TMaskImage >::RealSizeType |
Definition at line 177 of file itkMaskedFFTNormalizedCorrelationImageFilter.h.
typedef MaskedFFTNormalizedCorrelationImageFilter itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage, TMaskImage >::Self |
Standard class typedefs.
Definition at line 145 of file itkMaskedFFTNormalizedCorrelationImageFilter.h.
typedef itk::SizeValueType itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage, TMaskImage >::SizeValueType |
Definition at line 167 of file itkMaskedFFTNormalizedCorrelationImageFilter.h.
typedef ImageToImageFilter< TInputImage, TOutputImage > itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage, TMaskImage >::Superclass |
Definition at line 146 of file itkMaskedFFTNormalizedCorrelationImageFilter.h.
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Definition at line 252 of file itkMaskedFFTNormalizedCorrelationImageFilter.h.
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Definition at line 260 of file itkMaskedFFTNormalizedCorrelationImageFilter.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.
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Give the process object a chance to indictate that it will produce more output than it was requested to produce. For example, many imaging filters must compute the entire output at once or can only produce output in complete slices. Such filters cannot handle smaller requested regions. These filters must provide an implementation of this method, setting the output requested region to the size they will produce. By default, a process object does not modify the size of the output requested region.
Reimplemented from itk::ProcessObject.
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Standard pipeline method.
Reimplemented from itk::ImageSource< TOutputImage >.
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This filter needs a different input requested region than the output requested region. As such, it needs to provide an implementation for GenerateInputRequestedRegion() in order to inform the pipeline execution model.
Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
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Since the output of this filter is a different size than the input, it must provide an implementation of GenerateOutputInformation.
Reimplemented from itk::ProcessObject.
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Set and get the fixed image
Definition at line 192 of file itkMaskedFFTNormalizedCorrelationImageFilter.h.
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Set and get the fixed mask
Definition at line 214 of file itkMaskedFFTNormalizedCorrelationImageFilter.h.
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Get the maximum number of overlapping pixels.
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Set and get the moving image
Definition at line 203 of file itkMaskedFFTNormalizedCorrelationImageFilter.h.
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Set and get the moving mask
Definition at line 225 of file itkMaskedFFTNormalizedCorrelationImageFilter.h.
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Run-time type information (and related methods).
Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
Reimplemented in itk::FFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage >.
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Set and get the required fraction of overlapping pixels
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Set and get the required number of overlapping pixels
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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::ImageToImageFilter< TInputImage, TOutputImage >.
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Set and get the fixed image
Definition at line 188 of file itkMaskedFFTNormalizedCorrelationImageFilter.h.
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Set and get the fixed mask
Definition at line 210 of file itkMaskedFFTNormalizedCorrelationImageFilter.h.
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Set and get the moving image
Definition at line 199 of file itkMaskedFFTNormalizedCorrelationImageFilter.h.
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Set and get the moving mask
Definition at line 221 of file itkMaskedFFTNormalizedCorrelationImageFilter.h.
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Set and get the required fraction of overlapping pixels
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Set and get the required number of overlapping pixels
itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage, TMaskImage >::typedef | ( | Concept::IsFloatingPoint< OutputPixelType > | ) |
This class requires OutputPixelTypeIsFloatingPointCheck in the form of ( Concept::IsFloatingPoint< OutputPixelType > )
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Overlap the VerifyInputInformation method
Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
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Extract some information from the image types. Dimensionality of the two images is assumed to be the same.
Definition at line 159 of file itkMaskedFFTNormalizedCorrelationImageFilter.h.
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The total accumulated progress
Definition at line 346 of file itkMaskedFFTNormalizedCorrelationImageFilter.h.
Referenced by itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage >::MaskedFFTNormalizedCorrelationImageFilter().
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This is computed internally
Definition at line 340 of file itkMaskedFFTNormalizedCorrelationImageFilter.h.
Referenced by itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage >::MaskedFFTNormalizedCorrelationImageFilter().
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Similar to m_RequiredNumberOfOverlappingPixels except that the m_RequiredFractionOfOverlappingPixels is multiplied by the m_MaximumNumberOfOverlappingPixels to determine the requiredNumberOfOverlappingPixels. The default is 0.
Definition at line 337 of file itkMaskedFFTNormalizedCorrelationImageFilter.h.
Referenced by itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage >::MaskedFFTNormalizedCorrelationImageFilter().
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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. The default is set to 0.
Definition at line 332 of file itkMaskedFFTNormalizedCorrelationImageFilter.h.
Referenced by itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage >::MaskedFFTNormalizedCorrelationImageFilter().
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This is used for the progress reporter
Definition at line 343 of file itkMaskedFFTNormalizedCorrelationImageFilter.h.