#include <itkSmoothingRecursiveGaussianImageFilter.h>
Inheritance diagram for itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >:
This filter is implemented using the recursive gaussian filters. For multi-component images, the filter works on each component independently.
Definition at line 44 of file itkSmoothingRecursiveGaussianImageFilter.h.
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Pointer to the last filter, casting Definition at line 101 of file itkSmoothingRecursiveGaussianImageFilter.h. Referenced by itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::~SmoothingRecursiveGaussianImageFilter(). |
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The last in the pipeline Definition at line 91 of file itkSmoothingRecursiveGaussianImageFilter.h. |
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Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >. Definition at line 52 of file itkSmoothingRecursiveGaussianImageFilter.h. |
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Pointer to the first gaussian filter. Definition at line 98 of file itkSmoothingRecursiveGaussianImageFilter.h. Referenced by itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::~SmoothingRecursiveGaussianImageFilter(). |
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The first in the pipeline Definition at line 79 of file itkSmoothingRecursiveGaussianImageFilter.h. |
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Pixel Type of the input image Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >. Definition at line 56 of file itkSmoothingRecursiveGaussianImageFilter.h. |
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Pointer to a gaussian filter. Definition at line 95 of file itkSmoothingRecursiveGaussianImageFilter.h. Referenced by itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::~SmoothingRecursiveGaussianImageFilter(). |
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Smoothing filter type Definition at line 85 of file itkSmoothingRecursiveGaussianImageFilter.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 71 of file itkSmoothingRecursiveGaussianImageFilter.h. |
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Pointer to the Output Image Reimplemented from itk::ImageSource< TOutputImage >. Definition at line 104 of file itkSmoothingRecursiveGaussianImageFilter.h. |
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Some convenient typedefs. Reimplemented from itk::ImageSource< TOutputImage >. Definition at line 57 of file itkSmoothingRecursiveGaussianImageFilter.h. |
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Definition at line 58 of file itkSmoothingRecursiveGaussianImageFilter.h. |
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Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >. Definition at line 51 of file itkSmoothingRecursiveGaussianImageFilter.h. |
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Definition at line 73 of file itkSmoothingRecursiveGaussianImageFilter.h. |
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Definition at line 59 of file itkSmoothingRecursiveGaussianImageFilter.h. |
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Definition at line 60 of file itkSmoothingRecursiveGaussianImageFilter.h. |
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Standard class typedefs. Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >. Definition at line 49 of file itkSmoothingRecursiveGaussianImageFilter.h. Referenced by itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::~SmoothingRecursiveGaussianImageFilter(). |
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Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >. Definition at line 50 of file itkSmoothingRecursiveGaussianImageFilter.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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SmoothingRecursiveGaussianImageFilter needs all of the input to produce an output. Therefore, SmoothingRecursiveGaussianImageFilter 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. |