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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkSmoothingRecursiveGaussianImageFilter.h,v $
Language: C++
Date: $Date: 2007-09-26 15:54:25 $
Version: $Revision: 1.13 $
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 __itkSmoothingRecursiveGaussianImageFilter_h
#define __itkSmoothingRecursiveGaussianImageFilter_h
#include "itkRecursiveGaussianImageFilter.h"
#include "itkCastImageFilter.h"
#include "itkImage.h"
#include "itkPixelTraits.h"
#include "itkCommand.h"
namespace itk
{
/** \class SmoothingRecursiveGaussianImageFilter
* \brief Computes the smoothing of an image by convolution
* with the Gaussian kernels implemented as IIR filters.
*
* This filter is implemented using the recursive gaussian
* filters. For multi-component images, the filter works on each
* component independently.
*
*
* \ingroup IntensityImageFilters
* \ingroup Singlethreaded
*/
template <typename TInputImage,
typename TOutputImage= TInputImage >
class ITK_EXPORT SmoothingRecursiveGaussianImageFilter:
public ImageToImageFilter<TInputImage,TOutputImage>
{
public:
/** Standard class typedefs. */
typedef SmoothingRecursiveGaussianImageFilter 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 TOutputImage OutputImageType;
typedef typename TInputImage::PixelType PixelType;
typedef typename NumericTraits<PixelType>::RealType RealType;
typedef typename NumericTraits<PixelType>::ScalarRealType ScalarRealType;
/** Runtime information support. */
itkTypeMacro(SmoothingRecursiveGaussianImageFilter,
ImageToImageFilter);
/** Image dimension. */
itkStaticConstMacro(ImageDimension, unsigned int,
TInputImage::ImageDimension);
/** Define the image type for internal computations
RealType is usually 'double' in NumericTraits.
Here we prefer float in order to save memory. */
typedef typename NumericTraits< PixelType >::FloatType InternalRealType;
typedef Image<InternalRealType,
itkGetStaticConstMacro(ImageDimension) > RealImageType;
/** The first in the pipeline */
typedef RecursiveGaussianImageFilter<
InputImageType,
RealImageType
> FirstGaussianFilterType;
/** Smoothing filter type */
typedef RecursiveGaussianImageFilter<
RealImageType,
RealImageType
> InternalGaussianFilterType;
/** The last in the pipeline */
typedef CastImageFilter<
RealImageType,
OutputImageType
> CastingFilterType;
/** Pointer to a gaussian filter. */
typedef typename InternalGaussianFilterType::Pointer InternalGaussianFilterPointer;
/** Pointer to the first gaussian filter. */
typedef typename FirstGaussianFilterType::Pointer FirstGaussianFilterPointer;
/** Pointer to the last filter, casting */
typedef typename CastingFilterType::Pointer CastingFilterPointer;
/** Pointer to the Output Image */
typedef typename OutputImageType::Pointer OutputImagePointer;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** Set Sigma value. Sigma is measured in the units of image spacing. */
void SetSigma( ScalarRealType sigma );
itkGetMacro(Sigma, ScalarRealType);
/** Define which normalization factor will be used for the Gaussian */
void SetNormalizeAcrossScale( bool normalizeInScaleSpace );
itkGetMacro( NormalizeAcrossScale, bool );
#ifdef ITK_USE_CONCEPT_CHECKING
/** Begin concept checking */
itkConceptMacro(InputHasNumericTraitsCheck,
(Concept::HasNumericTraits<PixelType>));
/** End concept checking */
#endif
protected:
SmoothingRecursiveGaussianImageFilter();
virtual ~SmoothingRecursiveGaussianImageFilter() {};
void PrintSelf(std::ostream& os, Indent indent) const;
/** Generate Data */
void GenerateData( void );
/** SmoothingRecursiveGaussianImageFilter needs all of the input to produce an
* output. Therefore, SmoothingRecursiveGaussianImageFilter needs to provide
* an implementation for GenerateInputRequestedRegion in order to inform
* the pipeline execution model.
* \sa ImageToImageFilter::GenerateInputRequestedRegion() */
virtual void GenerateInputRequestedRegion() throw(InvalidRequestedRegionError);
// Override since the filter produces the entire dataset
void EnlargeOutputRequestedRegion(DataObject *output);
private:
SmoothingRecursiveGaussianImageFilter(const Self&); //purposely not implemented
void operator=(const Self&); //purposely not implemented
InternalGaussianFilterPointer m_SmoothingFilters[ImageDimension-1];
FirstGaussianFilterPointer m_FirstSmoothingFilter;
CastingFilterPointer m_CastingFilter;
/** Normalize the image across scale space */
bool m_NormalizeAcrossScale;
/** Standard deviation of the gaussian used for smoothing */
ScalarRealType m_Sigma;
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkSmoothingRecursiveGaussianImageFilter.txx"
#endif
#endif
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