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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkOptGrayscaleErodeImageFilter.h
Language: C++
Date: $Date$
Version: $Revision$
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 __itkOptGrayscaleErodeImageFilter_h
#define __itkOptGrayscaleErodeImageFilter_h
#include "itkKernelImageFilter.h"
#include "itkMovingHistogramErodeImageFilter.h"
#include "itkBasicErodeImageFilter.h"
#include "itkAnchorErodeImageFilter.h"
#include "itkVanHerkGilWermanErodeImageFilter.h"
#include "itkCastImageFilter.h"
#include "itkConstantBoundaryCondition.h"
#include "itkFlatStructuringElement.h"
#include "itkNeighborhood.h"
namespace itk {
/**
* \class GrayscaleErodeImageFilter
* \brief gray scale dilation of an image
*
* Erode an image using grayscale morphology. Dilation takes the
* maximum of all the pixels identified by the structuring element.
*
* The structuring element is assumed to be composed of binary
* values (zero or one). Only elements of the structuring element
* having values > 0 are candidates for affecting the center pixel.
*
* \sa MorphologyImageFilter, GrayscaleFunctionErodeImageFilter, BinaryErodeImageFilter
* \ingroup ImageEnhancement MathematicalMorphologyImageFilters
*/
template<class TInputImage, class TOutputImage, class TKernel>
class ITK_EXPORT GrayscaleErodeImageFilter :
public KernelImageFilter<TInputImage, TOutputImage, TKernel>
{
public:
/** Standard class typedefs. */
typedef GrayscaleErodeImageFilter Self;
typedef KernelImageFilter<TInputImage,TOutputImage, TKernel> Superclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
/** Standard New method. */
itkNewMacro(Self);
/** Runtime information support. */
itkTypeMacro(GrayscaleErodeImageFilter,
KernelImageFilter);
/** Image related typedefs. */
itkStaticConstMacro(ImageDimension, unsigned int,
TInputImage::ImageDimension);
/** Image related typedefs. */
typedef TInputImage InputImageType;
typedef TOutputImage OutputImageType;
typedef typename TInputImage::RegionType RegionType;
typedef typename TInputImage::SizeType SizeType;
typedef typename TInputImage::IndexType IndexType;
typedef typename TInputImage::PixelType PixelType;
typedef typename TInputImage::OffsetType OffsetType;
typedef typename Superclass::OutputImageRegionType OutputImageRegionType;
typedef MovingHistogramErodeImageFilter< TInputImage, TOutputImage, TKernel >
HistogramFilterType;
typedef BasicErodeImageFilter< TInputImage, TOutputImage, TKernel >
BasicFilterType;
typedef FlatStructuringElement< itkGetStaticConstMacro(ImageDimension) > FlatKernelType;
typedef AnchorErodeImageFilter< TInputImage, FlatKernelType > AnchorFilterType;
typedef VanHerkGilWermanErodeImageFilter< TInputImage, FlatKernelType >
VHGWFilterType;
typedef CastImageFilter< TInputImage, TOutputImage > CastFilterType;
/** Typedef for boundary conditions. */
typedef ImageBoundaryCondition<InputImageType> *ImageBoundaryConditionPointerType;
typedef ImageBoundaryCondition<InputImageType> const *ImageBoundaryConditionConstPointerType;
typedef ConstantBoundaryCondition<InputImageType> DefaultBoundaryConditionType;
/** Kernel typedef. */
typedef TKernel KernelType;
// typedef typename KernelType::Superclass KernelSuperClass;
// typedef Neighborhood< typename KernelType::PixelType, ImageDimension > KernelSuperClass;
/** Set kernel (structuring element). */
void SetKernel( const KernelType& kernel );
/** Set/Get the boundary value. */
void SetBoundary( const PixelType value );
itkGetConstMacro(Boundary, PixelType);
/** Set/Get the backend filter class. */
void SetAlgorithm(int algo );
itkGetConstMacro(Algorithm, int);
/** GrayscaleErodeImageFilter need to set its internal filters as modified */
virtual void Modified() const;
/** \deprecated
* Allows a user to override the internal boundary condition. Care should be
* be taken to ensure that the overriding boundary condition is a persistent
* object during the time it is referenced. The overriding condition
* can be of a different type than the default type as long as it is
* a subclass of ImageBoundaryCondition. */
void OverrideBoundaryCondition(const DefaultBoundaryConditionType* i)
{
itkLegacyBodyMacro(GrayscaleErodeImageFilter::OverrideBoundaryCondition, 2.8);
SetBoundary( i->GetConstant() );
}
/** \deprecated
* Get the current boundary condition.
*/
const DefaultBoundaryConditionType* GetBoundaryCondition()
{
itkLegacyBodyMacro(GrayscaleErodeImageFilter::GetBoundaryCondition, 2.8);
return &m_BoundaryCondition;
}
/** \deprecated
* Rest the boundary condition to the default
*/
void ResetBoundaryCondition()
{
itkLegacyBodyMacro(GrayscaleErodeImageFilter::ResetBoundaryCondition, 2.8);
SetBoundary( NumericTraits< PixelType >::NonpositiveMin() );
}
/** define values used to determine which algorithm to use */
enum {
BASIC = 0,
HISTO = 1,
ANCHOR = 2,
VHGW = 3
} AlgorithmChoice;
void SetNumberOfThreads( int nb );
protected:
GrayscaleErodeImageFilter();
~GrayscaleErodeImageFilter() {};
void PrintSelf(std::ostream& os, Indent indent) const;
void GenerateData();
private:
GrayscaleErodeImageFilter(const Self&); //purposely not implemented
void operator=(const Self&); //purposely not implemented
PixelType m_Boundary;
// the filters used internally
typename HistogramFilterType::Pointer m_HistogramFilter;
typename BasicFilterType::Pointer m_BasicFilter;
typename AnchorFilterType::Pointer m_AnchorFilter;
typename VHGWFilterType::Pointer m_VHGWFilter;
// and the name of the filter
int m_Algorithm;
// the boundary condition need to be stored here
DefaultBoundaryConditionType m_BoundaryCondition;
}; // end of class
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkOptGrayscaleErodeImageFilter.txx"
#endif
#endif
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