ITK
5.2.0
Insight Toolkit
|
#include <itkGradientMagnitudeRecursiveGaussianImageFilter.h>
Static Public Member Functions | |
static Pointer | New () |
Static Public Member Functions inherited from itk::ImageToImageFilter< TInputImage, TOutputImage > | |
static void | SetGlobalDefaultDirectionTolerance (double) |
static double | GetGlobalDefaultDirectionTolerance () |
static void | SetGlobalDefaultCoordinateTolerance (double) |
static double | GetGlobalDefaultCoordinateTolerance () |
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 () |
Computes the Magnitude of the Gradient of an image by convolution with the first derivative of a Gaussian.
This filter is implemented using the recursive gaussian filters
Definition at line 50 of file itkGradientMagnitudeRecursiveGaussianImageFilter.h.
using itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >::ConstPointer = SmartPointer<const Self> |
Definition at line 60 of file itkGradientMagnitudeRecursiveGaussianImageFilter.h.
using itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >::CumulativeImagePointer = typename CumulativeImageType::Pointer |
Definition at line 105 of file itkGradientMagnitudeRecursiveGaussianImageFilter.h.
using itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >::CumulativeImageType = Image<InternalRealType, Self::ImageDimension> |
Auxiliary image for holding the values of the squared gradient components
Definition at line 104 of file itkGradientMagnitudeRecursiveGaussianImageFilter.h.
using itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >::DerivativeFilterPointer = typename DerivativeFilterType::Pointer |
Pointer to a derivative filter.
Definition at line 91 of file itkGradientMagnitudeRecursiveGaussianImageFilter.h.
using itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >::DerivativeFilterType = RecursiveGaussianImageFilter<InputImageType, RealImageType> |
Derivative filter type, it will be the first in the pipeline
Definition at line 82 of file itkGradientMagnitudeRecursiveGaussianImageFilter.h.
using itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GaussianFilterPointer = typename GaussianFilterType::Pointer |
Pointer to a gaussian filter.
Definition at line 88 of file itkGradientMagnitudeRecursiveGaussianImageFilter.h.
using itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GaussianFilterType = RecursiveGaussianImageFilter<RealImageType, RealImageType> |
Smoothing filter type
Definition at line 79 of file itkGradientMagnitudeRecursiveGaussianImageFilter.h.
using itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >::InputImageType = TInputImage |
Pixel Type of the input image
Definition at line 63 of file itkGradientMagnitudeRecursiveGaussianImageFilter.h.
using itk::GradientMagnitudeRecursiveGaussianImageFilter< 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 75 of file itkGradientMagnitudeRecursiveGaussianImageFilter.h.
using itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputImagePointer = typename TOutputImage::Pointer |
Pointer to the Output Image
Definition at line 96 of file itkGradientMagnitudeRecursiveGaussianImageFilter.h.
using itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputImageType = TOutputImage |
Type of the output Image
Definition at line 99 of file itkGradientMagnitudeRecursiveGaussianImageFilter.h.
using itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputPixelType = typename OutputImageType::PixelType |
Definition at line 100 of file itkGradientMagnitudeRecursiveGaussianImageFilter.h.
using itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >::PixelType = typename InputImageType::PixelType |
Definition at line 64 of file itkGradientMagnitudeRecursiveGaussianImageFilter.h.
using itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >::Pointer = SmartPointer<Self> |
Definition at line 59 of file itkGradientMagnitudeRecursiveGaussianImageFilter.h.
using itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >::RealImageType = Image<InternalRealType, Self::ImageDimension> |
Definition at line 76 of file itkGradientMagnitudeRecursiveGaussianImageFilter.h.
using itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >::RealType = typename NumericTraits<PixelType>::RealType |
Definition at line 69 of file itkGradientMagnitudeRecursiveGaussianImageFilter.h.
using itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >::Self = GradientMagnitudeRecursiveGaussianImageFilter |
Standard class type aliases.
Definition at line 57 of file itkGradientMagnitudeRecursiveGaussianImageFilter.h.
|
private |
Normalize the image across scale space
Definition at line 164 of file itkGradientMagnitudeRecursiveGaussianImageFilter.h.
|
private |
Normalize the image across scale space
Definition at line 163 of file itkGradientMagnitudeRecursiveGaussianImageFilter.h.
using itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >::SqrtFilterPointer = typename SqrtFilterType::Pointer |
Definition at line 93 of file itkGradientMagnitudeRecursiveGaussianImageFilter.h.
using itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >::SqrtFilterType = SqrtImageFilter<RealImageType, TOutputImage> |
Smoothing filter type
Definition at line 85 of file itkGradientMagnitudeRecursiveGaussianImageFilter.h.
using itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >::Superclass = InPlaceImageFilter<TInputImage, TOutputImage> |
Definition at line 58 of file itkGradientMagnitudeRecursiveGaussianImageFilter.h.
|
protected |
Normalize the image across scale space
|
overrideprotecteddefault |
Normalize the image across scale space
|
virtual |
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.
|
overrideprotectedvirtual |
GradientMagnitudeRecursiveGaussianImageFilter produces all of the output. Therefore, it needs to provide an implementation of EnlargeOutputRequestedRegion().
Reimplemented from itk::ProcessObject.
|
overrideprotectedvirtual |
Generate Data
Reimplemented from itk::ImageSource< TOutputImage >.
|
overrideprotectedvirtual |
GradientMagnitudeRecursiveGaussianImageFilter needs all of the input to produce an output. Therefore, GradientMagnitudeRecursiveGaussianImageFilter needs to provide an implementation for GenerateInputRequestedRegion in order to inform the pipeline execution model.
Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
|
virtual |
Runtime information support.
Reimplemented from itk::InPlaceImageFilter< TInputImage, TOutputImage >.
|
virtual |
Normalize the image across scale space
RealType itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GetSigma | ( | ) |
Normalize the image across scale space
|
static |
Method for creation through the object factory.
|
overrideprotectedvirtual |
Normalize the image across scale space
Reimplemented from itk::InPlaceImageFilter< TInputImage, TOutputImage >.
void itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >::SetNormalizeAcrossScale | ( | bool | normalize | ) |
Define which normalization factor will be used for the Gaussian
|
overridevirtual |
Normalize the image across scale space
Reimplemented from itk::ProcessObject.
void itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >::SetSigma | ( | RealType | sigma | ) |
Set Sigma value. Sigma is measured in the units of image spacing.
|
staticconstexpr |
Image dimension.
Definition at line 67 of file itkGradientMagnitudeRecursiveGaussianImageFilter.h.
|
private |
Normalize the image across scale space
Definition at line 167 of file itkGradientMagnitudeRecursiveGaussianImageFilter.h.
|
private |
Normalize the image across scale space
Definition at line 172 of file itkGradientMagnitudeRecursiveGaussianImageFilter.h.
|
private |
Normalize the image across scale space
Definition at line 166 of file itkGradientMagnitudeRecursiveGaussianImageFilter.h.
|
private |
Normalize the image across scale space
Definition at line 168 of file itkGradientMagnitudeRecursiveGaussianImageFilter.h.
|
private |
Normalize the image across scale space
Definition at line 169 of file itkGradientMagnitudeRecursiveGaussianImageFilter.h.