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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkHessianRecursiveGaussianImageFilter.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 __itkHessianRecursiveGaussianImageFilter_h
#define __itkHessianRecursiveGaussianImageFilter_h
#include "itkRecursiveGaussianImageFilter.h"
#include "itkNthElementImageAdaptor.h"
#include "itkImage.h"
#include "itkSymmetricSecondRankTensor.h"
#include "itkPixelTraits.h"
#include "itkCommand.h"
namespace itk
{
/** \class HessianRecursiveGaussianImageFilter
* \brief Computes the Hessian matrix of an image by convolution
* with the Second and Cross derivatives of a Gaussian.
*
* This filter is implemented using the recursive gaussian
* filters
*
*
* \ingroup GradientFilters
* \ingroup Singlethreaded
*/
// NOTE that the ITK_TYPENAME macro has to be used here in lieu
// of "typename" because VC++ doesn't like the typename keyword
// on the defaults of template parameters
template <typename TInputImage,
typename TOutputImage= Image< SymmetricSecondRankTensor<
ITK_TYPENAME NumericTraits< ITK_TYPENAME TInputImage::PixelType>::RealType,
::itk::GetImageDimension<TInputImage>::ImageDimension >,
::itk::GetImageDimension<TInputImage>::ImageDimension > >
class ITK_EXPORT HessianRecursiveGaussianImageFilter:
public ImageToImageFilter<TInputImage,TOutputImage>
{
public:
/** Standard class typedefs. */
typedef HessianRecursiveGaussianImageFilter Self;
typedef ImageToImageFilter<TInputImage,TOutputImage> Superclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
/** Pixel Type of the input image */
typedef TInputImage InputImageType;
typedef typename TInputImage::PixelType PixelType;
typedef typename NumericTraits<PixelType>::RealType RealType;
/** Image dimension. */
itkStaticConstMacro(ImageDimension, unsigned int,
::itk::GetImageDimension<TInputImage>::ImageDimension);
/** Number of smoothing filters. */
itkStaticConstMacro(NumberOfSmoothingFilters, unsigned int,
::itk::GetImageDimension<TInputImage>::ImageDimension-2);
/** Define the image type for internal computations
RealType is usually 'double' in NumericTraits.
Here we prefer float in order to save memory. */
typedef float InternalRealType;
typedef Image<
InternalRealType,
::itk::GetImageDimension<TInputImage>::ImageDimension > RealImageType;
/** 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. */
typedef NthElementImageAdaptor< TOutputImage,
InternalRealType > OutputImageAdaptorType;
typedef typename OutputImageAdaptorType::Pointer OutputImageAdaptorPointer;
/** Smoothing filter type */
typedef RecursiveGaussianImageFilter<
RealImageType,
RealImageType
> GaussianFilterType;
/** Derivative filter type, it will be the first in the pipeline */
typedef RecursiveGaussianImageFilter<
InputImageType,
RealImageType
> DerivativeFilterAType;
typedef RecursiveGaussianImageFilter<
RealImageType,
RealImageType
> DerivativeFilterBType;
/** Pointer to a gaussian filter. */
typedef typename GaussianFilterType::Pointer GaussianFilterPointer;
typedef std::vector< GaussianFilterPointer > GaussianFiltersArray;
/** Pointer to a derivative filter. */
typedef typename DerivativeFilterAType::Pointer DerivativeFilterAPointer;
typedef typename DerivativeFilterBType::Pointer DerivativeFilterBPointer;
/** Pointer to the Output Image */
typedef typename TOutputImage::Pointer OutputImagePointer;
/** Type of the output Image */
typedef TOutputImage OutputImageType;
typedef typename OutputImageType::PixelType OutputPixelType;
typedef typename PixelTraits<OutputPixelType>::ValueType OutputComponentType;
/** Run-time type information (and related methods). */
itkTypeMacro( HessianRecursiveGaussianImageFilter, ImageToImageFilter );
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** Set Sigma value. Sigma is measured in the units of image spacing. */
void SetSigma( RealType sigma );
/** Define which normalization factor will be used for the Gaussian */
void SetNormalizeAcrossScale( bool normalizeInScaleSpace );
itkGetConstMacro( NormalizeAcrossScale, bool );
/** HessianRecursiveGaussianImageFilter needs all of the input to produce an
* output. Therefore, HessianRecursiveGaussianImageFilter needs to provide
* an implementation for GenerateInputRequestedRegion in order to inform
* the pipeline execution model.
* \sa ImageToImageFilter::GenerateInputRequestedRegion() */
virtual void GenerateInputRequestedRegion() throw(InvalidRequestedRegionError);
#ifdef ITK_USE_CONCEPT_CHECKING
/** Begin concept checking */
itkConceptMacro(InputHasNumericTraitsCheck,
(Concept::HasNumericTraits<PixelType>));
itkConceptMacro(OutputHasPixelTraitsCheck,
(Concept::HasPixelTraits<OutputPixelType>));
/** End concept checking */
#endif
protected:
HessianRecursiveGaussianImageFilter();
virtual ~HessianRecursiveGaussianImageFilter() {};
void PrintSelf(std::ostream& os, Indent indent) const;
/** Generate Data */
void GenerateData( void );
// Override since the filter produces the entire dataset
void EnlargeOutputRequestedRegion(DataObject *output);
private:
HessianRecursiveGaussianImageFilter(const Self&); //purposely not implemented
void operator=(const Self&); //purposely not implemented
GaussianFiltersArray m_SmoothingFilters;
DerivativeFilterAPointer m_DerivativeFilterA;
DerivativeFilterBPointer m_DerivativeFilterB;
OutputImageAdaptorPointer m_ImageAdaptor;
/** Normalize the image across scale space */
bool m_NormalizeAcrossScale;
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkHessianRecursiveGaussianImageFilter.txx"
#endif
#endif
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