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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkDifferenceOfGaussiansGradientImageFilter.h,v $
Language: C++
Date: $Date: 2006-03-28 15:38:51 $
Version: $Revision: 1.22 $
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 __itkDifferenceOfGaussiansGradientImageFilter_h
#define __itkDifferenceOfGaussiansGradientImageFilter_h
#include "itkImageToImageFilter.h"
#include "itkImage.h"
#include "itkCovariantVector.h"
namespace itk
{
/** \class DifferenceOfGaussiansGradientImageFilter
* \brief Performs difference-of-gaussians gradient detection
*
* \ingroup ImageEnhancement
* \ingroup GradientFilters
*
*/
template<typename TInputImage, typename TDataType>
class ITK_EXPORT DifferenceOfGaussiansGradientImageFilter :
public ImageToImageFilter<TInputImage,
Image< CovariantVector<TDataType, ::itk::GetImageDimension<TInputImage>::ImageDimension>,
::itk::GetImageDimension<TInputImage>::ImageDimension> >
{
public:
/** Number of dimensions. */
itkStaticConstMacro(NDimensions, unsigned int, TInputImage::ImageDimension);
/** Standard class typedefs. */
typedef DifferenceOfGaussiansGradientImageFilter Self;
/** Output image typedef. The output image is always an n-dimensional
* image of n-dimensional vectors of doubles. */
typedef Image<CovariantVector<TDataType, itkGetStaticConstMacro(NDimensions)>, itkGetStaticConstMacro(NDimensions)>
TOutputImage;
/** Standard class typedefs. */
typedef ImageToImageFilter<TInputImage, TOutputImage> Superclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** Run-time type information (and related methods). */
itkTypeMacro( DifferenceOfGaussiansGradientImageFilter, ImageToImageFilter );
/** Image size typedef. */
typedef Size<itkGetStaticConstMacro(NDimensions)> SizeType;
/** Image index typedef. */
typedef typename TInputImage::IndexType IndexType;
/** Image pixel value typedef. */
typedef typename TInputImage::PixelType PixelType;
/** Typedef to describe the output image region type. */
typedef typename TInputImage::RegionType OutputImageRegionType;
/** Set/Get the member variables. */
itkGetMacro(Width, unsigned int);
itkSetMacro(Width, unsigned int);
#ifdef ITK_USE_CONCEPT_CHECKING
/** Begin concept checking */
itkConceptMacro(DataTypeHasNumericTraitsCheck,
(Concept::HasNumericTraits<TDataType>));
/** End concept checking */
#endif
protected:
DifferenceOfGaussiansGradientImageFilter();
virtual ~DifferenceOfGaussiansGradientImageFilter() {};
void PrintSelf(std::ostream& os, Indent indent) const;
/** Method for evaluating the implicit function over the image. */
void GenerateData();
private:
DifferenceOfGaussiansGradientImageFilter(const Self&); //purposely not implemented
void operator=(const Self&); //purposely not implemented
unsigned int m_Width;
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkDifferenceOfGaussiansGradientImageFilter.txx"
#endif
#endif
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