ITK
6.0.0
Insight Toolkit
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#include <itkHessianRecursiveGaussianImageFilter.h>
Computes the Hessian matrix of an image by convolution with the Second and Cross derivatives of a Gaussian.
This filter is implemented using the recursive gaussian filters
Definition at line 47 of file itkHessianRecursiveGaussianImageFilter.h.
Static Public Member Functions | |
static Pointer | New () |
Static Public Member Functions inherited from itk::ImageToImageFilter< TInputImage, Image< SymmetricSecondRankTensor< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension > > | |
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 = TInputImage::ImageDimension |
static constexpr unsigned int | NumberOfSmoothingFilters |
Static Public Attributes inherited from itk::ImageToImageFilter< TInputImage, Image< SymmetricSecondRankTensor< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension > > | |
static constexpr unsigned int | InputImageDimension |
static constexpr unsigned int | OutputImageDimension |
Static Public Attributes inherited from itk::ImageSource< Image< SymmetricSecondRankTensor< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension > > | |
static constexpr unsigned int | OutputImageDimension |
Private Attributes | |
DerivativeFilterAPointer | m_DerivativeFilterA {} |
DerivativeFilterBPointer | m_DerivativeFilterB {} |
OutputImageAdaptorPointer | m_ImageAdaptor {} |
bool | m_NormalizeAcrossScale {} |
GaussianFiltersArray | m_SmoothingFilters {} |
using itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::ConstPointer = SmartPointer<const Self> |
Definition at line 56 of file itkHessianRecursiveGaussianImageFilter.h.
using itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::DerivativeFilterAPointer = typename DerivativeFilterAType::Pointer |
Pointer to a derivative filter.
Definition at line 98 of file itkHessianRecursiveGaussianImageFilter.h.
using itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::DerivativeFilterAType = RecursiveGaussianImageFilter<InputImageType, RealImageType> |
Derivative filter type, it will be the first in the pipeline
Definition at line 89 of file itkHessianRecursiveGaussianImageFilter.h.
using itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::DerivativeFilterBPointer = typename DerivativeFilterBType::Pointer |
Definition at line 99 of file itkHessianRecursiveGaussianImageFilter.h.
using itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::DerivativeFilterBType = RecursiveGaussianImageFilter<RealImageType, RealImageType> |
Definition at line 91 of file itkHessianRecursiveGaussianImageFilter.h.
using itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GaussianFilterPointer = typename GaussianFilterType::Pointer |
Pointer to a gaussian filter.
Definition at line 94 of file itkHessianRecursiveGaussianImageFilter.h.
using itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GaussianFiltersArray = std::vector<GaussianFilterPointer> |
Definition at line 95 of file itkHessianRecursiveGaussianImageFilter.h.
using itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GaussianFilterType = RecursiveGaussianImageFilter<RealImageType, RealImageType> |
Smoothing filter type
Definition at line 86 of file itkHessianRecursiveGaussianImageFilter.h.
using itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::InputImageType = TInputImage |
Pixel Type of the input image
Definition at line 59 of file itkHessianRecursiveGaussianImageFilter.h.
using itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::InternalRealType = float |
Define the image type for internal computations RealType is usually 'double' in NumericTraits. Here we prefer float in order to save memory.
Definition at line 74 of file itkHessianRecursiveGaussianImageFilter.h.
using itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputComponentType = typename PixelTraits<OutputPixelType>::ValueType |
Definition at line 107 of file itkHessianRecursiveGaussianImageFilter.h.
using itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputImageAdaptorPointer = typename OutputImageAdaptorType::Pointer |
Definition at line 83 of file itkHessianRecursiveGaussianImageFilter.h.
using itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputImageAdaptorType = NthElementImageAdaptor<TOutputImage, InternalRealType> |
Output Image Nth Element Adaptor This adaptor allows to use conventional scalar smoothing filters to compute each one of the components of the gradient image pixels.
Definition at line 81 of file itkHessianRecursiveGaussianImageFilter.h.
using itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputImagePointer = typename TOutputImage::Pointer |
Pointer to the Output Image
Definition at line 102 of file itkHessianRecursiveGaussianImageFilter.h.
using itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputImageType = TOutputImage |
Type of the output Image
Definition at line 105 of file itkHessianRecursiveGaussianImageFilter.h.
using itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputPixelType = typename OutputImageType::PixelType |
Definition at line 106 of file itkHessianRecursiveGaussianImageFilter.h.
using itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::PixelType = typename TInputImage::PixelType |
Definition at line 60 of file itkHessianRecursiveGaussianImageFilter.h.
using itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::Pointer = SmartPointer<Self> |
Definition at line 55 of file itkHessianRecursiveGaussianImageFilter.h.
using itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::RealImageType = Image<InternalRealType, TInputImage::ImageDimension> |
Definition at line 75 of file itkHessianRecursiveGaussianImageFilter.h.
using itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::RealType = typename NumericTraits<PixelType>::RealType |
Definition at line 61 of file itkHessianRecursiveGaussianImageFilter.h.
using itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::Self = HessianRecursiveGaussianImageFilter |
Standard class type aliases.
Definition at line 53 of file itkHessianRecursiveGaussianImageFilter.h.
using itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::Superclass = ImageToImageFilter<TInputImage, TOutputImage> |
Definition at line 54 of file itkHessianRecursiveGaussianImageFilter.h.
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protected |
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overrideprotecteddefault |
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overrideprotectedvirtual |
Give the process object a chance to indicate 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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overrideprotectedvirtual |
Generate Data
Reimplemented from itk::ProcessObject.
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overridevirtual |
HessianRecursiveGaussianImageFilter needs all of the input to produce an output. Therefore, HessianRecursiveGaussianImageFilter needs to provide an implementation for GenerateInputRequestedRegion in order to inform the pipeline execution model.
Reimplemented from itk::ProcessObject.
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overridevirtual |
Reimplemented from itk::ProcessObject.
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virtual |
Define which normalization factor will be used for the Gaussian
RealType itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GetSigma | ( | ) | const |
Set/Get Sigma value. Sigma is measured in the units of image spacing.
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static |
Method for creation through the object factory.
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virtual |
Define which normalization factor will be used for the Gaussian
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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::ProcessObject.
void itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::SetNormalizeAcrossScale | ( | bool | normalize | ) |
Define which normalization factor will be used for the Gaussian
void itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::SetSigma | ( | RealType | sigma | ) |
Set/Get Sigma value. Sigma is measured in the units of image spacing.
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staticconstexpr |
Image dimension.
Definition at line 64 of file itkHessianRecursiveGaussianImageFilter.h.
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private |
Definition at line 162 of file itkHessianRecursiveGaussianImageFilter.h.
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Definition at line 163 of file itkHessianRecursiveGaussianImageFilter.h.
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Definition at line 164 of file itkHessianRecursiveGaussianImageFilter.h.
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Normalize the image across scale space
Definition at line 167 of file itkHessianRecursiveGaussianImageFilter.h.
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private |
Definition at line 161 of file itkHessianRecursiveGaussianImageFilter.h.
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staticconstexpr |
Number of smoothing filters.
Definition at line 67 of file itkHessianRecursiveGaussianImageFilter.h.