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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkLaplacianRecursiveGaussianImageFilter.h,v $
Language: C++
Date: $Date: 2007-09-27 11:36:40 $
Version: $Revision: 1.4 $
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 __itkLaplacianRecursiveGaussianImageFilter_h
#define __itkLaplacianRecursiveGaussianImageFilter_h
#include "itkRecursiveGaussianImageFilter.h"
#include "itkNthElementImageAdaptor.h"
#include "itkImage.h"
#include "itkPixelTraits.h"
#include "itkCommand.h"
namespace itk
{
/** \class LaplacianRecursiveGaussianImageFilter
* \brief Computes the Laplacian of an image by convolution with the second derivative 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= TInputImage >
class ITK_EXPORT LaplacianRecursiveGaussianImageFilter:
public ImageToImageFilter<TInputImage,TOutputImage>
{
public:
/** Standard class typedefs. */
typedef LaplacianRecursiveGaussianImageFilter 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 InputImageType::PixelType PixelType;
/** Image dimension. */
itkStaticConstMacro(ImageDimension, unsigned int,
TInputImage::ImageDimension);
typedef typename NumericTraits<PixelType>::RealType RealType;
/** 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,
itkGetStaticConstMacro(ImageDimension) > RealImageType;
/** Smoothing filter type */
typedef RecursiveGaussianImageFilter<
RealImageType,
RealImageType
> GaussianFilterType;
/** Derivative filter type, it will be the first in the pipeline */
typedef RecursiveGaussianImageFilter<
InputImageType,
RealImageType
> DerivativeFilterType;
/** Pointer to a gaussian filter. */
typedef typename GaussianFilterType::Pointer GaussianFilterPointer;
/** Pointer to a derivative filter. */
typedef typename DerivativeFilterType::Pointer DerivativeFilterPointer;
/** Pointer to the Output Image */
typedef typename TOutputImage::Pointer OutputImagePointer;
/** Type of the output Image */
typedef TOutputImage OutputImageType;
typedef typename OutputImageType::PixelType OutputPixelType;
/** Auxiliary image for holding the values of the squared gradient components */
typedef Image< InternalRealType,
itkGetStaticConstMacro(ImageDimension) > CumulativeImageType;
typedef typename CumulativeImageType::Pointer CumulativeImagePointer;
/** Command for observing progress of internal pipeline filters */
typedef MemberCommand< Self > CommandType;
typedef typename CommandType::Pointer CommandPointer;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** Runtime information support. */
itkTypeMacro(LaplacianRecursiveGaussianImageFilter,
ImageToImageFilter);
/** 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 );
itkGetMacro( NormalizeAcrossScale, bool );
/** LaplacianRecursiveGaussianImageFilter needs all of the input to produce an
* output. Therefore, LaplacianRecursiveGaussianImageFilter needs to provide
* an implementation for GenerateInputRequestedRegion in order to inform
* the pipeline execution model.
* \sa ImageToImageFilter::GenerateInputRequestedRegion() */
virtual void GenerateInputRequestedRegion() throw(InvalidRequestedRegionError);
protected:
LaplacianRecursiveGaussianImageFilter();
virtual ~LaplacianRecursiveGaussianImageFilter() {};
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);
/** Compute progress by weighting the contributions of the internal filters */
void ReportProgress(const Object * object, const EventObject & event );
private:
LaplacianRecursiveGaussianImageFilter(const Self&); //purposely not implemented
void operator=(const Self&); //purposely not implemented
GaussianFilterPointer m_SmoothingFilters[ImageDimension-1];
DerivativeFilterPointer m_DerivativeFilter;
CumulativeImagePointer m_CumulativeImage;
CommandPointer m_ProgressCommand;
float m_Progress;
/** Normalize the image across scale space */
bool m_NormalizeAcrossScale;
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkLaplacianRecursiveGaussianImageFilter.txx"
#endif
#endif
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