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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkMorphologicalGradientImageFilter.h,v $
Language: C++
Date: $Date: 2006-03-29 14:53:40 $
Version: $Revision: 1.2 $
Copyright (c) Insight Software Consortium. All rights reserved.
See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notices for more information.
=========================================================================*/
#ifndef __itkMorphologicalGradientImageFilter_h
#define __itkMorphologicalGradientImageFilter_h
#include "itkImageToImageFilter.h"
namespace itk {
/** \class MorphologicalGradientImageFilter
* \brief Morphological gradients enhance the variation of pixel intensity in a given neighborhood.
*
* The morphological gradient, also called the Beucher gradient, is the
* difference between the dilation and erosion by the structuring element.
* Morphological gradient is described in Chapter 3.8.1 of Pierre Soille's book
* "Morphological Image Analysis: Principles and Applications",
* Second Edition, Springer, 2003.
* According to this book, this filter can produce thick gradients, by
* increasing the size of the structuring element. Also, direcitonal
* gradiebts are possible by replacing the isotropic structuring
* element with a line segment.
* The name might be MorphologicalGradientMagnitudeImageFilter, but we
* chose to name the filter according to Pierre Soille's usage in the book.
*
* Note: This filter produces a scalar image that is the magnitude of
* the gradient.
*
* \author Gatan Lehmann. Biologie du Dveloppement et de la Reproduction, INRA de Jouy-en-Josas, France.
*
* \sa GradientMagnitudeImageFilter
* \ingroup ImageEnhancement MathematicalMorphologyImageFilters
*/
template<class TInputImage, class TOutputImage, class TKernel>
class ITK_EXPORT MorphologicalGradientImageFilter :
public ImageToImageFilter<TInputImage, TOutputImage>
{
public:
/** Standard class typedefs. */
typedef MorphologicalGradientImageFilter Self;
typedef ImageToImageFilter<TInputImage, TOutputImage>
Superclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
/** Some convenient typedefs. */
typedef TInputImage InputImageType;
typedef TOutputImage OutputImageType;
typedef typename InputImageType::Pointer InputImagePointer;
typedef typename InputImageType::ConstPointer InputImageConstPointer;
typedef typename InputImageType::RegionType InputImageRegionType;
typedef typename InputImageType::PixelType InputImagePixelType;
typedef typename OutputImageType::Pointer OutputImagePointer;
typedef typename OutputImageType::ConstPointer OutputImageConstPointer;
typedef typename OutputImageType::RegionType OutputImageRegionType;
typedef typename OutputImageType::PixelType OutputImagePixelType;
/** Kernel typedef. */
typedef TKernel KernelType;
/** ImageDimension constants */
itkStaticConstMacro(InputImageDimension, unsigned int,
TInputImage::ImageDimension);
itkStaticConstMacro(OutputImageDimension, unsigned int,
TOutputImage::ImageDimension);
itkStaticConstMacro(KernelDimension, unsigned int,
TKernel::NeighborhoodDimension);
/** Standard New method. */
itkNewMacro(Self);
/** Runtime information support. */
itkTypeMacro(MorphologicalGradientImageFilter,
ImageToImageFilter);
/** Set kernel (structuring element). */
itkSetMacro(Kernel, KernelType);
/** Get the kernel (structuring element). */
itkGetConstReferenceMacro(Kernel, KernelType);
#ifdef ITK_USE_CONCEPT_CHECKING
/** Begin concept checking */
itkConceptMacro(SameDimensionCheck1,
(Concept::SameDimension<InputImageDimension, KernelDimension>));
itkConceptMacro(SameDimensionCheck2,
(Concept::SameDimension<InputImageDimension, OutputImageDimension>));
itkConceptMacro(InputLessThanComparableCheck,
(Concept::LessThanComparable<InputImagePixelType>));
itkConceptMacro(InputGreaterThanComparableCheck,
(Concept::GreaterThanComparable<InputImagePixelType>));
itkConceptMacro(InputAdditiveOperatorsCheck,
(Concept::AdditiveOperators<InputImagePixelType>));
itkConceptMacro(InputConvertibleToOutputCheck,
(Concept::Convertible<InputImagePixelType, OutputImagePixelType>));
itkConceptMacro(KernelGreaterThanIntCheck,
(Concept::GreaterThanComparable<typename TKernel::PixelType, int>));
/** End concept checking */
#endif
protected:
MorphologicalGradientImageFilter();
~MorphologicalGradientImageFilter() {};
void PrintSelf(std::ostream& os, Indent indent) const;
/** MorphologicalGradientImageFilter need to make sure they request
* enough of an input image to account for the structuring element
* size. The input requested region is expanded by the radius of
* the structuring element. If the request extends past the
* LargestPossibleRegion for the input, the request is cropped by
* the LargestPossibleRegion.
*/
void GenerateInputRequestedRegion() ;
void GenerateData();
private:
MorphologicalGradientImageFilter(const Self&); //purposely not implemented
void operator=(const Self&); //purposely not implemented
/** kernel or structuring element to use. */
KernelType m_Kernel ;
} ; // end of class
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkMorphologicalGradientImageFilter.txx"
#endif
#endif
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