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/*=========================================================================
*
* Copyright Insight Software Consortium
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0.txt
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*=========================================================================*/
#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.
*
* For this filter to be able to run in-place the input and output
* image types need to be the same and/or the same type as the
* RealImageType.
*
* \ingroup IntensityImageFilters
* \ingroup SingleThreaded
* \ingroup ITKSmoothing
*
* \wiki
* \wikiexample{Smoothing/SmoothingRecursiveGaussianImageFilter,Gaussian smoothing that works with image adaptors}
* \endwiki
*/
template< typename TInputImage,
typename TOutputImage = TInputImage >
class ITK_TEMPLATE_EXPORT SmoothingRecursiveGaussianImageFilter:
public InPlaceImageFilter< TInputImage, TOutputImage >
{
public:
/** Standard class typedefs. */
typedef SmoothingRecursiveGaussianImageFilter Self;
typedef InPlaceImageFilter< TInputImage, TOutputImage > Superclass;
typedef SmartPointer< Self > Pointer;
typedef SmartPointer< const Self > ConstPointer;
/** Pixel typedefs. */
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 type for the sigma array. */
typedef FixedArray< ScalarRealType,
itkGetStaticConstMacro(ImageDimension) > SigmaArrayType;
/** 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 typename InputImageType::template Rebind<InternalRealType>::Type RealImageType;
/** Typedef for the first Gaussian smoothing in the pipeline. */
typedef RecursiveGaussianImageFilter< InputImageType, RealImageType > FirstGaussianFilterType;
/** Typedef for the internal Gaussian smoothing filter. */
typedef RecursiveGaussianImageFilter< RealImageType, RealImageType > InternalGaussianFilterType;
/** Typedef for the casting image filter. */
typedef CastImageFilter< RealImageType, OutputImageType > CastingFilterType;
/** Pointer to the internal Gaussian filter. */
typedef typename InternalGaussianFilterType::Pointer InternalGaussianFilterPointer;
/** Pointer to the first Gaussian smoothing filter. */
typedef typename FirstGaussianFilterType::Pointer FirstGaussianFilterPointer;
/** Pointer to the casting image filter. */
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 the standard deviation of the Gaussian used for smoothing.
* Sigma is measured in the units of image spacing. You may use the method
* SetSigma to set the same value across each axis or use the method
* SetSigmaArray if you need different values along each axis. */
void SetSigmaArray(const SigmaArrayType & sigmas);
void SetSigma(ScalarRealType sigma);
/** Get the Sigma value. */
SigmaArrayType GetSigmaArray() const;
/** Get the Sigma scalar. If the Sigma is anisotropic, we will just
* return the Sigma along the first dimension. */
ScalarRealType GetSigma() const;
/** Set/Get the flag for normalizing the Gaussian over scale-space.
* This method does not effect the output of this filter.
*
* \sa RecursiveGaussianImageFilter::SetNormalizeAcrossScale */
void SetNormalizeAcrossScale(bool normalizeInScaleSpace);
itkGetConstMacro(NormalizeAcrossScale, bool);
itkBooleanMacro( NormalizeAcrossScale );
void SetNumberOfThreads(ThreadIdType nb) ITK_OVERRIDE;
virtual bool CanRunInPlace( void ) const ITK_OVERRIDE;
#ifdef ITK_USE_CONCEPT_CHECKING
// Begin concept checking
// This concept does not work with variable length vector images
//itkConceptMacro( InputHasNumericTraitsCheck,
//( Concept::HasNumericTraits< PixelType > ) );
// End concept checking
#endif
protected:
SmoothingRecursiveGaussianImageFilter();
virtual ~SmoothingRecursiveGaussianImageFilter() ITK_OVERRIDE {}
void PrintSelf(std::ostream & os, Indent indent) const ITK_OVERRIDE;
void GenerateData(void) ITK_OVERRIDE;
/** 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() ITK_OVERRIDE;
// Override since the filter produces the entire dataset
void EnlargeOutputRequestedRegion(DataObject *output) ITK_OVERRIDE;
private:
ITK_DISALLOW_COPY_AND_ASSIGN(SmoothingRecursiveGaussianImageFilter);
InternalGaussianFilterPointer m_SmoothingFilters[ImageDimension - 1];
FirstGaussianFilterPointer m_FirstSmoothingFilter;
CastingFilterPointer m_CastingFilter;
bool m_NormalizeAcrossScale;
SigmaArrayType m_Sigma;
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkSmoothingRecursiveGaussianImageFilter.hxx"
#endif
#endif
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