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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 itkGradientMagnitudeRecursiveGaussianImageFilter_h
#define itkGradientMagnitudeRecursiveGaussianImageFilter_h
#include "itkNthElementImageAdaptor.h"
#include "itkImage.h"
#include "itkPixelTraits.h"
#include "itkRecursiveGaussianImageFilter.h"
#include "itkSqrtImageFilter.h"
#include "itkBinaryFunctorImageFilter.h"
namespace itk
{
/** \class GradientMagnitudeRecursiveGaussianImageFilter
* \brief Computes the Magnitude of the Gradient of an image by convolution
* with the first derivative of a Gaussian.
*
* This filter is implemented using the recursive gaussian
* filters
*
* \ingroup GradientFilters
* \ingroup SingleThreaded
* \ingroup ITKImageGradient
*
* \wiki
* \wikiexample{EdgesAndGradients/GradientMagnitudeRecursiveGaussianImageFilter,Find the gradient magnitude of the image first smoothed with a Gaussian kernel}
* \endwiki
*/
// NOTE that the 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_TEMPLATE_EXPORT GradientMagnitudeRecursiveGaussianImageFilter:
public InPlaceImageFilter< TInputImage, TOutputImage >
{
public:
/** Standard class typedefs. */
typedef GradientMagnitudeRecursiveGaussianImageFilter Self;
typedef InPlaceImageFilter< 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;
/** Smoothing filter type */
typedef SqrtImageFilter<
RealImageType,
TOutputImage
> SqrtFilterType;
/** Pointer to a gaussian filter. */
typedef typename GaussianFilterType::Pointer GaussianFilterPointer;
/** Pointer to a derivative filter. */
typedef typename DerivativeFilterType::Pointer DerivativeFilterPointer;
typedef typename SqrtFilterType::Pointer SqrtFilterPointer;
/** 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;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** Runtime information support. */
itkTypeMacro(GradientMagnitudeRecursiveGaussianImageFilter,
InPlaceImageFilter);
/** Set Sigma value. Sigma is measured in the units of image spacing. */
void SetSigma(RealType sigma);
RealType GetSigma();
/** Define which normalization factor will be used for the Gaussian
* \sa RecursiveGaussianImageFilter::SetNormalizeAcrossScale
*/
void SetNormalizeAcrossScale(bool normalizeInScaleSpace);
itkGetConstMacro(NormalizeAcrossScale, bool);
void SetNumberOfThreads(ThreadIdType nb) ITK_OVERRIDE;
#ifdef ITK_USE_CONCEPT_CHECKING
// Begin concept checking
itkConceptMacro( InputHasNumericTraitsCheck,
( Concept::HasNumericTraits< PixelType > ) );
// End concept checking
#endif
protected:
GradientMagnitudeRecursiveGaussianImageFilter();
virtual ~GradientMagnitudeRecursiveGaussianImageFilter() ITK_OVERRIDE {}
void PrintSelf(std::ostream & os, Indent indent) const ITK_OVERRIDE;
/** Generate Data */
void GenerateData(void) ITK_OVERRIDE;
/** GradientMagnitudeRecursiveGaussianImageFilter needs all of the
* input to produce an output. Therefore,
* GradientMagnitudeRecursiveGaussianImageFilter needs to provide an
* implementation for GenerateInputRequestedRegion in order to
* inform the pipeline execution model. \sa
* ImageToImageFilter::GenerateInputRequestedRegion() */
virtual void GenerateInputRequestedRegion() ITK_OVERRIDE;
/** GradientMagnitudeRecursiveGaussianImageFilter produces all of
* the output. Therefore, it needs to provide an implementation of
* EnlargeOutputRequestedRegion(). */
void EnlargeOutputRequestedRegion(DataObject *output) ITK_OVERRIDE;
private:
ITK_DISALLOW_COPY_AND_ASSIGN(GradientMagnitudeRecursiveGaussianImageFilter);
class SqrSpacing
{
public:
SqrSpacing():m_Spacing(0) {}
~SqrSpacing() {}
bool operator!=(const SqrSpacing & other) const
{
return !( *this == other );
}
bool operator==(const SqrSpacing & other) const
{
return other.m_Spacing == m_Spacing;
}
inline InternalRealType operator()(const InternalRealType & a, const InternalRealType & b)
{
return a + itk::Math::sqr(b / m_Spacing);
}
double m_Spacing;
};
typedef BinaryFunctorImageFilter< RealImageType, RealImageType, RealImageType, SqrSpacing > SqrSpacingFilterType;
typedef typename SqrSpacingFilterType::Pointer SqrSpacingFilterPointer;
GaussianFilterPointer m_SmoothingFilters[ImageDimension - 1];
DerivativeFilterPointer m_DerivativeFilter;
SqrSpacingFilterPointer m_SqrSpacingFilter;
SqrtFilterPointer m_SqrtFilter;
/** Normalize the image across scale space */
bool m_NormalizeAcrossScale;
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkGradientMagnitudeRecursiveGaussianImageFilter.hxx"
#endif
#endif
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