ITK
4.3.0
Insight Segmentation and Registration Toolkit
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#include <itkSmoothingRecursiveGaussianImageFilter.h>
Computes the smoothing of an image by convolution with the Gaussian kernels implemented as IIR filters.
This filter is implemented using the recursive gaussian filters. For multi-component images, the filter works on each component independently.
For this filter to be able to run in-place the input and output image types need to be the same and/or the same type as the RealImageType.
Definition at line 51 of file itkSmoothingRecursiveGaussianImageFilter.h.
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static Pointer | New () |
Static Public Attributes | |
static const unsigned int | ImageDimension = TInputImage::ImageDimension |
Static Public Attributes inherited from itk::InPlaceImageFilter< TInputImage, TOutputImage > | |
static const unsigned int | InputImageDimension = TInputImage::ImageDimension |
static const unsigned int | OutputImageDimension = TOutputImage::ImageDimension |
Static Public Attributes inherited from itk::ImageToImageFilter< TInputImage, TOutputImage > | |
static const unsigned int | InputImageDimension = TInputImage::ImageDimension |
static const unsigned int | OutputImageDimension = TOutputImage::ImageDimension |
Static Public Attributes inherited from itk::ImageSource< TOutputImage > | |
static const unsigned int | OutputImageDimension = TOutputImage::ImageDimension |
Private Member Functions | |
void | operator= (const Self &) |
SmoothingRecursiveGaussianImageFilter (const Self &) | |
Additional Inherited Members | |
Protected Types inherited from itk::ImageToImageFilter< TInputImage, TOutputImage > | |
typedef ImageToImageFilterDetail::ImageRegionCopier < itkGetStaticConstMacro(OutputImageDimension), itkGetStaticConstMacro(InputImageDimension) > | InputToOutputRegionCopierType |
typedef ImageToImageFilterDetail::ImageRegionCopier < itkGetStaticConstMacro(InputImageDimension), itkGetStaticConstMacro(OutputImageDimension) > | OutputToInputRegionCopierType |
Static Protected Member Functions inherited from itk::ImageSource< TOutputImage > | |
static ITK_THREAD_RETURN_TYPE | ThreaderCallback (void *arg) |
Protected Attributes inherited from itk::ProcessObject | |
TimeStamp | m_OutputInformationMTime |
bool | m_Updating |
typedef CastingFilterType::Pointer itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::CastingFilterPointer |
Pointer to the last filter, casting
Definition at line 112 of file itkSmoothingRecursiveGaussianImageFilter.h.
typedef CastImageFilter< RealImageType, OutputImageType > itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::CastingFilterType |
The last in the pipeline
Definition at line 103 of file itkSmoothingRecursiveGaussianImageFilter.h.
typedef SmartPointer< const Self > itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::ConstPointer |
Definition at line 59 of file itkSmoothingRecursiveGaussianImageFilter.h.
typedef FirstGaussianFilterType::Pointer itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::FirstGaussianFilterPointer |
Pointer to the first gaussian filter.
Definition at line 109 of file itkSmoothingRecursiveGaussianImageFilter.h.
typedef RecursiveGaussianImageFilter< InputImageType, RealImageType > itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::FirstGaussianFilterType |
The first in the pipeline
Definition at line 91 of file itkSmoothingRecursiveGaussianImageFilter.h.
typedef TInputImage itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::InputImageType |
Pixel Type of the input image
Definition at line 62 of file itkSmoothingRecursiveGaussianImageFilter.h.
typedef InternalGaussianFilterType::Pointer itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::InternalGaussianFilterPointer |
Pointer to a gaussian filter.
Definition at line 106 of file itkSmoothingRecursiveGaussianImageFilter.h.
typedef RecursiveGaussianImageFilter< RealImageType, RealImageType > itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::InternalGaussianFilterType |
Smoothing filter type
Definition at line 97 of file itkSmoothingRecursiveGaussianImageFilter.h.
typedef NumericTraits< PixelType >::FloatType itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::InternalRealType |
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 84 of file itkSmoothingRecursiveGaussianImageFilter.h.
typedef OutputImageType::Pointer itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputImagePointer |
Pointer to the Output Image
Definition at line 115 of file itkSmoothingRecursiveGaussianImageFilter.h.
typedef TOutputImage itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputImageType |
Definition at line 63 of file itkSmoothingRecursiveGaussianImageFilter.h.
typedef TInputImage::PixelType itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::PixelType |
Definition at line 64 of file itkSmoothingRecursiveGaussianImageFilter.h.
typedef SmartPointer< Self > itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::Pointer |
Definition at line 58 of file itkSmoothingRecursiveGaussianImageFilter.h.
typedef InputImageType::template Rebind<InternalRealType>::Type itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::RealImageType |
Definition at line 85 of file itkSmoothingRecursiveGaussianImageFilter.h.
typedef NumericTraits< PixelType >::RealType itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::RealType |
Definition at line 65 of file itkSmoothingRecursiveGaussianImageFilter.h.
typedef NumericTraits< PixelType >::ScalarRealType itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::ScalarRealType |
Definition at line 66 of file itkSmoothingRecursiveGaussianImageFilter.h.
typedef SmoothingRecursiveGaussianImageFilter itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::Self |
Standard class typedefs.
Definition at line 56 of file itkSmoothingRecursiveGaussianImageFilter.h.
typedef FixedArray< ScalarRealType, itkGetStaticConstMacro(ImageDimension) > itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::SigmaArrayType |
Define the type for the sigma array
Definition at line 78 of file itkSmoothingRecursiveGaussianImageFilter.h.
typedef InPlaceImageFilter< TInputImage, TOutputImage > itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::Superclass |
Definition at line 57 of file itkSmoothingRecursiveGaussianImageFilter.h.
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Begin concept checking End concept checking
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Definition at line 158 of file itkSmoothingRecursiveGaussianImageFilter.h.
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Can the filter run in place? To do so, the filter's first input and output must have the same dimension and pixel type. This method can be used in conjunction with the InPlace ivar to determine whether a particular use of the filter is really running in place. Some filters may be able to optimize their operation if the InPlace is true and CanRunInPlace is true. CanRunInPlace may also be overridded by InPlaceImageFilter subclasses to fine tune its behavior.
Reimplemented from itk::InPlaceImageFilter< TInputImage, TOutputImage >.
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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.
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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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Runtime information support.
Reimplemented from itk::InPlaceImageFilter< TInputImage, TOutputImage >.
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This method does not effect the output of this filter.
\sa RecursiveGaussianImageFilter::SetNormalizeAcrossScale
ScalarRealType itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GetSigma | ( | ) | const |
SigmaArrayType itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GetSigmaArray | ( | ) | const |
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Method for creation through the object factory.
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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::InPlaceImageFilter< TInputImage, TOutputImage >.
void itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::SetNormalizeAcrossScale | ( | bool | normalizeInScaleSpace | ) |
This method does not effect the output of this filter.
\sa RecursiveGaussianImageFilter::SetNormalizeAcrossScale
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Get/Set the number of threads to create when executing.
Reimplemented from itk::ProcessObject.
void itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::SetSigma | ( | ScalarRealType | sigma | ) |
Set Sigma value. Sigma is measured in the units of image spacing. You may use the method SetSigma to set the same value across each axis or use the method SetSigmaArray if you need different values along each axis.
void itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::SetSigmaArray | ( | const SigmaArrayType & | sigmas | ) |
Set Sigma value. Sigma is measured in the units of image spacing. You may use the method SetSigma to set the same value across each axis or use the method SetSigmaArray if you need different values along each axis.
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Image dimension.
Definition at line 74 of file itkSmoothingRecursiveGaussianImageFilter.h.
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Definition at line 184 of file itkSmoothingRecursiveGaussianImageFilter.h.
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Definition at line 183 of file itkSmoothingRecursiveGaussianImageFilter.h.
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Normalize the image across scale space
Definition at line 187 of file itkSmoothingRecursiveGaussianImageFilter.h.
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Standard deviation of the gaussian used for smoothing
Definition at line 190 of file itkSmoothingRecursiveGaussianImageFilter.h.
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Definition at line 182 of file itkSmoothingRecursiveGaussianImageFilter.h.