#include <itkGradientMagnitudeRecursiveGaussianImageFilter.h>
Inheritance diagram for itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >:
This filter is implemented using the recursive gaussian filters
Definition at line 44 of file itkGradientMagnitudeRecursiveGaussianImageFilter.h.
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Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >. Definition at line 52 of file itkGradientMagnitudeRecursiveGaussianImageFilter.h. |
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Auxiliary image for holding the values of the squared gradient components Definition at line 101 of file itkGradientMagnitudeRecursiveGaussianImageFilter.h. |
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Pointer to a derivative filter. Definition at line 90 of file itkGradientMagnitudeRecursiveGaussianImageFilter.h. Referenced by itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >::~GradientMagnitudeRecursiveGaussianImageFilter(). |
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Derivative filter type, it will be the first in the pipeline Definition at line 84 of file itkGradientMagnitudeRecursiveGaussianImageFilter.h. |
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Pointer to a gaussian filter. Definition at line 87 of file itkGradientMagnitudeRecursiveGaussianImageFilter.h. Referenced by itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >::~GradientMagnitudeRecursiveGaussianImageFilter(). |
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Smoothing filter type Definition at line 78 of file itkGradientMagnitudeRecursiveGaussianImageFilter.h. |
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Pixel Type of the input image Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >. Definition at line 56 of file itkGradientMagnitudeRecursiveGaussianImageFilter.h. |
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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 70 of file itkGradientMagnitudeRecursiveGaussianImageFilter.h. |
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Pointer to the Output Image Reimplemented from itk::ImageSource< TOutputImage >. Definition at line 93 of file itkGradientMagnitudeRecursiveGaussianImageFilter.h. |
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Type of the output Image Reimplemented from itk::ImageSource< TOutputImage >. Definition at line 96 of file itkGradientMagnitudeRecursiveGaussianImageFilter.h. |
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Definition at line 97 of file itkGradientMagnitudeRecursiveGaussianImageFilter.h. |
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Definition at line 57 of file itkGradientMagnitudeRecursiveGaussianImageFilter.h. |
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Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >. Definition at line 51 of file itkGradientMagnitudeRecursiveGaussianImageFilter.h. |
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Definition at line 72 of file itkGradientMagnitudeRecursiveGaussianImageFilter.h. |
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Definition at line 64 of file itkGradientMagnitudeRecursiveGaussianImageFilter.h. |
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Standard class typedefs. Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >. Definition at line 49 of file itkGradientMagnitudeRecursiveGaussianImageFilter.h. Referenced by itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >::~GradientMagnitudeRecursiveGaussianImageFilter(). |
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Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >. Definition at line 50 of file itkGradientMagnitudeRecursiveGaussianImageFilter.h. |
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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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Generate Data Reimplemented from itk::ImageSource< TOutputImage >.
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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 >.
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Define which normalization factor will be used for the Gaussian |
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Image dimension. |
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Method for creation through the object factory. Reimplemented from itk::Object.
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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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Define which normalization factor will be used for the Gaussian |
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Set Sigma value. Sigma is measured in the units of image spacing. |