ITK
4.1.0
Insight Segmentation and Registration Toolkit
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#include <itkLaplacianRecursiveGaussianImageFilter.h>
Computes the Laplacian of Gaussian (LoG) of an image.
Computes the Laplacian of Gaussian (LoG) of an image by convolution with the second derivative of a Gaussian. This filter is implemented using the recursive gaussian filters.
Definition at line 44 of file itkLaplacianRecursiveGaussianImageFilter.h.
typedef CommandType::Pointer itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::CommandPointer |
Definition at line 99 of file itkLaplacianRecursiveGaussianImageFilter.h.
typedef MemberCommand< Self > itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::CommandType |
Command for observing progress of internal pipeline filters
Definition at line 98 of file itkLaplacianRecursiveGaussianImageFilter.h.
typedef SmartPointer< const Self > itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::ConstPointer |
Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
Definition at line 52 of file itkLaplacianRecursiveGaussianImageFilter.h.
typedef DerivativeFilterType::Pointer itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::DerivativeFilterPointer |
Pointer to a derivative filter.
Definition at line 87 of file itkLaplacianRecursiveGaussianImageFilter.h.
typedef RecursiveGaussianImageFilter< InputImageType, RealImageType > itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::DerivativeFilterType |
Derivative filter type, it will be the first in the pipeline
Definition at line 81 of file itkLaplacianRecursiveGaussianImageFilter.h.
typedef GaussianFilterType::Pointer itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GaussianFilterPointer |
Pointer to a gaussian filter.
Definition at line 84 of file itkLaplacianRecursiveGaussianImageFilter.h.
typedef RecursiveGaussianImageFilter< RealImageType, RealImageType > itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GaussianFilterType |
Smoothing filter type
Definition at line 75 of file itkLaplacianRecursiveGaussianImageFilter.h.
typedef TInputImage itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::InputImageType |
Pixel Type of the input image
Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
Definition at line 55 of file itkLaplacianRecursiveGaussianImageFilter.h.
typedef float itk::LaplacianRecursiveGaussianImageFilter< 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 67 of file itkLaplacianRecursiveGaussianImageFilter.h.
typedef TOutputImage::Pointer itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputImagePointer |
Pointer to the Output Image
Reimplemented from itk::ImageSource< TOutputImage >.
Definition at line 90 of file itkLaplacianRecursiveGaussianImageFilter.h.
typedef TOutputImage itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputImageType |
Type of the output Image
Reimplemented from itk::ImageSource< TOutputImage >.
Definition at line 93 of file itkLaplacianRecursiveGaussianImageFilter.h.
typedef OutputImageType::PixelType itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputPixelType |
Definition at line 94 of file itkLaplacianRecursiveGaussianImageFilter.h.
typedef InputImageType::PixelType itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::PixelType |
Definition at line 56 of file itkLaplacianRecursiveGaussianImageFilter.h.
typedef SmartPointer< Self > itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::Pointer |
Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
Definition at line 51 of file itkLaplacianRecursiveGaussianImageFilter.h.
typedef Image< InternalRealType, itkGetStaticConstMacro(ImageDimension) > itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::RealImageType |
Definition at line 69 of file itkLaplacianRecursiveGaussianImageFilter.h.
typedef NumericTraits< PixelType >::RealType itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::RealType |
Definition at line 62 of file itkLaplacianRecursiveGaussianImageFilter.h.
typedef LaplacianRecursiveGaussianImageFilter itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::Self |
Standard class typedefs.
Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
Definition at line 49 of file itkLaplacianRecursiveGaussianImageFilter.h.
typedef ImageToImageFilter< TInputImage, TOutputImage > itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::Superclass |
Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
Definition at line 50 of file itkLaplacianRecursiveGaussianImageFilter.h.
itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::LaplacianRecursiveGaussianImageFilter | ( | ) | [protected] |
virtual itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::~LaplacianRecursiveGaussianImageFilter | ( | ) | [inline, protected, virtual] |
Definition at line 120 of file itkLaplacianRecursiveGaussianImageFilter.h.
itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::LaplacianRecursiveGaussianImageFilter | ( | const Self & | ) | [private] |
virtual::itk::LightObject::Pointer itk::LaplacianRecursiveGaussianImageFilter< 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::LaplacianRecursiveGaussianImageFilter< 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::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GenerateData | ( | void | ) | [protected, virtual] |
Generate Data
Reimplemented from itk::ImageSource< TOutputImage >.
virtual const char* itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GetNameOfClass | ( | ) | const [virtual] |
Runtime information support.
Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
virtual bool itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GetNormalizeAcrossScale | ( | ) | const [virtual] |
Define which normalization factor will be used for the Gaussian
static Pointer itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::New | ( | ) | [static] |
Method for creation through the object factory.
Reimplemented from itk::Object.
void itk::LaplacianRecursiveGaussianImageFilter< 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::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::PrintSelf | ( | std::ostream & | os, |
Indent | indent | ||
) | const [protected, virtual] |
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 >.
void itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::SetNormalizeAcrossScale | ( | bool | normalizeInScaleSpace | ) |
Define which normalization factor will be used for the Gaussian
void itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::SetSigma | ( | RealType | sigma | ) |
Set Sigma value. Sigma is measured in the units of image spacing.
const unsigned int itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::ImageDimension = TInputImage::ImageDimension [static] |
Image dimension.
Definition at line 60 of file itkLaplacianRecursiveGaussianImageFilter.h.
DerivativeFilterPointer itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_DerivativeFilter [private] |
Definition at line 158 of file itkLaplacianRecursiveGaussianImageFilter.h.
bool itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_NormalizeAcrossScale [private] |
Normalize the image across scale space
Definition at line 161 of file itkLaplacianRecursiveGaussianImageFilter.h.
GaussianFilterPointer itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_SmoothingFilters[ImageDimension-1] [private] |
Definition at line 157 of file itkLaplacianRecursiveGaussianImageFilter.h.