ITK
4.1.0
Insight Segmentation and Registration Toolkit
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#include <itkGradientRecursiveGaussianImageFilter.h>
Computes 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 54 of file itkGradientRecursiveGaussianImageFilter.h.
typedef SmartPointer< const Self > itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::ConstPointer |
Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
Definition at line 62 of file itkGradientRecursiveGaussianImageFilter.h.
typedef DerivativeFilterType::Pointer itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::DerivativeFilterPointer |
Pointer to a derivative filter.
Definition at line 106 of file itkGradientRecursiveGaussianImageFilter.h.
typedef RecursiveGaussianImageFilter< InputImageType, RealImageType > itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::DerivativeFilterType |
Derivative filter type, it will be the first in the pipeline
Definition at line 100 of file itkGradientRecursiveGaussianImageFilter.h.
typedef GaussianFilterType::Pointer itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GaussianFilterPointer |
Pointer to a gaussian filter.
Definition at line 103 of file itkGradientRecursiveGaussianImageFilter.h.
typedef RecursiveGaussianImageFilter< RealImageType, RealImageType > itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GaussianFilterType |
Smoothing filter type
Definition at line 94 of file itkGradientRecursiveGaussianImageFilter.h.
typedef TInputImage itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::InputImageType |
Pixel Type of the input image
Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
Definition at line 65 of file itkGradientRecursiveGaussianImageFilter.h.
typedef float itk::GradientRecursiveGaussianImageFilter< 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 77 of file itkGradientRecursiveGaussianImageFilter.h.
typedef PixelTraits< OutputPixelType >::ValueType itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputComponentType |
Definition at line 114 of file itkGradientRecursiveGaussianImageFilter.h.
typedef OutputImageAdaptorType::Pointer itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputImageAdaptorPointer |
Definition at line 88 of file itkGradientRecursiveGaussianImageFilter.h.
typedef NthElementImageAdaptor< TOutputImage, InternalRealType > itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputImageAdaptorType |
Output Image Nth Element Adaptor This adaptor allows to use conventional scalar smoothing filters to compute each one of the components of the gradient image pixels.
Definition at line 86 of file itkGradientRecursiveGaussianImageFilter.h.
typedef TOutputImage::Pointer itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputImagePointer |
Pointer to the Output Image
Reimplemented from itk::ImageSource< TOutputImage >.
Definition at line 109 of file itkGradientRecursiveGaussianImageFilter.h.
typedef TOutputImage itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputImageType |
Type of the output Image
Reimplemented from itk::ImageSource< TOutputImage >.
Definition at line 112 of file itkGradientRecursiveGaussianImageFilter.h.
typedef OutputImageType::PixelType itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputPixelType |
Definition at line 113 of file itkGradientRecursiveGaussianImageFilter.h.
typedef TInputImage::PixelType itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::PixelType |
Definition at line 66 of file itkGradientRecursiveGaussianImageFilter.h.
typedef SmartPointer< Self > itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::Pointer |
Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
Definition at line 61 of file itkGradientRecursiveGaussianImageFilter.h.
typedef Image< InternalRealType, itkGetStaticConstMacro(ImageDimension) > itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::RealImageType |
Definition at line 79 of file itkGradientRecursiveGaussianImageFilter.h.
typedef NumericTraits< PixelType >::RealType itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::RealType |
Definition at line 67 of file itkGradientRecursiveGaussianImageFilter.h.
typedef GradientRecursiveGaussianImageFilter itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::Self |
Standard class typedefs.
Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
Definition at line 59 of file itkGradientRecursiveGaussianImageFilter.h.
typedef ImageToImageFilter< TInputImage, TOutputImage > itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::Superclass |
Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
Definition at line 60 of file itkGradientRecursiveGaussianImageFilter.h.
itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GradientRecursiveGaussianImageFilter | ( | ) | [protected] |
End concept checking
virtual itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::~GradientRecursiveGaussianImageFilter | ( | ) | [inline, protected, virtual] |
End concept checking
Definition at line 167 of file itkGradientRecursiveGaussianImageFilter.h.
itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GradientRecursiveGaussianImageFilter | ( | const Self & | ) | [private] |
virtual::itk::LightObject::Pointer itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::CreateAnother | ( | void | ) | const [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.
void itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::EnlargeOutputRequestedRegion | ( | DataObject * | ) | [protected, virtual] |
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.
void itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GenerateData | ( | void | ) | [protected, virtual] |
Generate Data
Reimplemented from itk::ImageSource< TOutputImage >.
virtual void itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GenerateInputRequestedRegion | ( | ) | throw ( InvalidRequestedRegionError ) [virtual] |
GradientRecursiveGaussianImageFilter needs all of the input to produce an output. Therefore, GradientRecursiveGaussianImageFilter needs to provide an implementation for GenerateInputRequestedRegion in order to inform the pipeline execution model.
Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
virtual const char* itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GetNameOfClass | ( | ) | const [virtual] |
Runtime information support.
Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
virtual bool itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GetNormalizeAcrossScale | ( | ) | const [virtual] |
Define which normalization factor will be used for the Gaussian
virtual bool itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GetUseImageDirection | ( | ) | const [virtual] |
The UseImageDirection flag determines whether the gradients are computed with respect to the image grid or with respect to the physical space. When this flag is ON the gradients are computed with respect to the coodinate system of physical space. The difference is whether we take into account the image Direction or not. The flag ON will take into account the image direction and will result in an extra matrix multiplication compared to the amount of computation performed when the flag is OFF. The default value of this flag is On.
static Pointer itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::New | ( | ) | [static] |
Method for creation through the object factory.
Reimplemented from itk::Object.
void itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::operator= | ( | const Self & | ) | [private] |
PushBackInput(), PushFronInput() in the public section force the input to be the type expected by an ImageToImageFilter. However, these methods end of "hiding" the versions from the superclass (ProcessObject) whose arguments are DataObjects. Here, we re-expose the versions from ProcessObject to avoid warnings about hiding methods from the superclass.
Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
void itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::PrintSelf | ( | std::ostream & | os, |
Indent | indent | ||
) | const [protected, virtual] |
End concept checking
Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
void itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::SetNormalizeAcrossScale | ( | bool | normalizeInScaleSpace | ) |
Define which normalization factor will be used for the Gaussian
void itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::SetSigma | ( | RealType | sigma | ) |
Set Sigma value. Sigma is measured in the units of image spacing.
virtual void itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::SetUseImageDirection | ( | bool | _arg | ) | [virtual] |
The UseImageDirection flag determines whether the gradients are computed with respect to the image grid or with respect to the physical space. When this flag is ON the gradients are computed with respect to the coodinate system of physical space. The difference is whether we take into account the image Direction or not. The flag ON will take into account the image direction and will result in an extra matrix multiplication compared to the amount of computation performed when the flag is OFF. The default value of this flag is On.
itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::typedef | ( | Concept::HasNumericTraits< PixelType > | ) |
Begin concept checking This class requires InputHasNumericTraitsCheck in the form of ( Concept::HasNumericTraits< PixelType > )
itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::typedef | ( | Concept::HasPixelTraits< OutputPixelType > | ) |
This class requires OutputHasPixelTraitsCheck in the form of ( Concept::HasPixelTraits< OutputPixelType > )
virtual void itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::UseImageDirectionOff | ( | ) | [virtual] |
The UseImageDirection flag determines whether the gradients are computed with respect to the image grid or with respect to the physical space. When this flag is ON the gradients are computed with respect to the coodinate system of physical space. The difference is whether we take into account the image Direction or not. The flag ON will take into account the image direction and will result in an extra matrix multiplication compared to the amount of computation performed when the flag is OFF. The default value of this flag is On.
virtual void itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::UseImageDirectionOn | ( | ) | [virtual] |
The UseImageDirection flag determines whether the gradients are computed with respect to the image grid or with respect to the physical space. When this flag is ON the gradients are computed with respect to the coodinate system of physical space. The difference is whether we take into account the image Direction or not. The flag ON will take into account the image direction and will result in an extra matrix multiplication compared to the amount of computation performed when the flag is OFF. The default value of this flag is On.
const unsigned int itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::ImageDimension = TInputImage::ImageDimension [static] |
Image dimension.
Definition at line 71 of file itkGradientRecursiveGaussianImageFilter.h.
DerivativeFilterPointer itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_DerivativeFilter [private] |
Definition at line 185 of file itkGradientRecursiveGaussianImageFilter.h.
OutputImageAdaptorPointer itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_ImageAdaptor [private] |
Definition at line 186 of file itkGradientRecursiveGaussianImageFilter.h.
bool itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_NormalizeAcrossScale [private] |
Normalize the image across scale space
Definition at line 189 of file itkGradientRecursiveGaussianImageFilter.h.
std::vector< GaussianFilterPointer > itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_SmoothingFilters [private] |
Definition at line 184 of file itkGradientRecursiveGaussianImageFilter.h.
bool itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_UseImageDirection [private] |
Take into account image orientation when computing the Gradient
Definition at line 192 of file itkGradientRecursiveGaussianImageFilter.h.