ITK
6.0.0
Insight Toolkit
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#include <itkLaplacianRecursiveGaussianImageFilter.h>
Computes the Laplacian of Gaussian (LoG) of an image.
Computes the Laplacian of Gaussian (LoG) of an image by convolution with the second derivative of a Gaussian. This filter is implemented using the recursive gaussian filters.
Definition at line 44 of file itkLaplacianRecursiveGaussianImageFilter.h.
Static Public Member Functions | |
static Pointer | New () |
Static Public Member Functions inherited from itk::ImageToImageFilter< TInputImage, TInputImage > | |
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 = ImageDimension - 1 |
Static Public Attributes inherited from itk::ImageToImageFilter< TInputImage, TInputImage > | |
static constexpr unsigned int | InputImageDimension |
static constexpr unsigned int | OutputImageDimension |
Static Public Attributes inherited from itk::ImageSource< TInputImage > | |
static constexpr unsigned int | OutputImageDimension |
Private Attributes | |
DerivativeFilterPointer | m_DerivativeFilter {} |
bool | m_NormalizeAcrossScale {} |
GaussianFilterPointer | m_SmoothingFilters [NumberOfSmoothingFilters] {} |
Additional Inherited Members | |
Protected Types inherited from itk::ImageToImageFilter< TInputImage, TInputImage > | |
using | InputToOutputRegionCopierType = ImageToImageFilterDetail::ImageRegionCopier< Self::OutputImageDimension, Self::InputImageDimension > |
using | OutputToInputRegionCopierType = ImageToImageFilterDetail::ImageRegionCopier< Self::InputImageDimension, Self::OutputImageDimension > |
Static Protected Member Functions inherited from itk::ImageSource< TInputImage > | |
static const ImageRegionSplitterBase * | GetGlobalDefaultSplitter () |
static ITK_THREAD_RETURN_FUNCTION_CALL_CONVENTION | ThreaderCallback (void *arg) |
Static Protected Member Functions inherited from itk::ProcessObject | |
template<typename TSourceObject > | |
static void | MakeRequiredOutputs (TSourceObject &sourceObject, const DataObjectPointerArraySizeType numberOfRequiredOutputs) |
static constexpr float | progressFixedToFloat (uint32_t fixed) |
static uint32_t | progressFloatToFixed (float f) |
Protected Attributes inherited from itk::ImageSource< TInputImage > | |
bool | m_DynamicMultiThreading |
Protected Attributes inherited from itk::ProcessObject | |
TimeStamp | m_OutputInformationMTime {} |
bool | m_Updating {} |
Protected Attributes inherited from itk::LightObject | |
std::atomic< int > | m_ReferenceCount {} |
using itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::CommandPointer = typename CommandType::Pointer |
Definition at line 94 of file itkLaplacianRecursiveGaussianImageFilter.h.
using itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::CommandType = MemberCommand<Self> |
Command for observing progress of internal pipeline filters
Definition at line 93 of file itkLaplacianRecursiveGaussianImageFilter.h.
using itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::ConstPointer = SmartPointer<const Self> |
Definition at line 53 of file itkLaplacianRecursiveGaussianImageFilter.h.
using itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::DerivativeFilterPointer = typename DerivativeFilterType::Pointer |
Pointer to a derivative filter.
Definition at line 82 of file itkLaplacianRecursiveGaussianImageFilter.h.
using itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::DerivativeFilterType = RecursiveGaussianImageFilter<InputImageType, RealImageType> |
Derivative filter type, it will be the first in the pipeline
Definition at line 76 of file itkLaplacianRecursiveGaussianImageFilter.h.
using itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GaussianFilterPointer = typename GaussianFilterType::Pointer |
Pointer to a gaussian filter.
Definition at line 79 of file itkLaplacianRecursiveGaussianImageFilter.h.
using itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GaussianFilterType = RecursiveGaussianImageFilter<RealImageType, RealImageType> |
Smoothing filter type
Definition at line 73 of file itkLaplacianRecursiveGaussianImageFilter.h.
using itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::InputImageType = TInputImage |
Pixel Type of the input image
Definition at line 56 of file itkLaplacianRecursiveGaussianImageFilter.h.
using itk::LaplacianRecursiveGaussianImageFilter< 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 69 of file itkLaplacianRecursiveGaussianImageFilter.h.
using itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputImagePointer = typename TOutputImage::Pointer |
Pointer to the Output Image
Definition at line 85 of file itkLaplacianRecursiveGaussianImageFilter.h.
using itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputImageType = TOutputImage |
Type of the output Image
Definition at line 88 of file itkLaplacianRecursiveGaussianImageFilter.h.
using itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputPixelType = typename OutputImageType::PixelType |
Definition at line 89 of file itkLaplacianRecursiveGaussianImageFilter.h.
using itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::PixelType = typename InputImageType::PixelType |
Definition at line 57 of file itkLaplacianRecursiveGaussianImageFilter.h.
using itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::Pointer = SmartPointer<Self> |
Definition at line 52 of file itkLaplacianRecursiveGaussianImageFilter.h.
using itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::RealImageType = Image<InternalRealType, Self::ImageDimension> |
Definition at line 70 of file itkLaplacianRecursiveGaussianImageFilter.h.
using itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::RealType = typename NumericTraits<PixelType>::RealType |
Definition at line 64 of file itkLaplacianRecursiveGaussianImageFilter.h.
using itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::Self = LaplacianRecursiveGaussianImageFilter |
Standard class type aliases.
Definition at line 50 of file itkLaplacianRecursiveGaussianImageFilter.h.
using itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::Superclass = ImageToImageFilter<TInputImage, TOutputImage> |
Definition at line 51 of file itkLaplacianRecursiveGaussianImageFilter.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 |
Reimplemented from itk::ProcessObject.
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virtual |
Define which normalization factor will be used for the Gaussian
RealType itk::LaplacianRecursiveGaussianImageFilter< 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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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::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::SetNormalizeAcrossScale | ( | bool | normalize | ) |
Define which normalization factor will be used for the Gaussian
void itk::LaplacianRecursiveGaussianImageFilter< 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 60 of file itkLaplacianRecursiveGaussianImageFilter.h.
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private |
Definition at line 133 of file itkLaplacianRecursiveGaussianImageFilter.h.
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private |
Normalize the image across scale space
Definition at line 136 of file itkLaplacianRecursiveGaussianImageFilter.h.
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private |
Definition at line 132 of file itkLaplacianRecursiveGaussianImageFilter.h.
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staticconstexpr |
Definition at line 62 of file itkLaplacianRecursiveGaussianImageFilter.h.