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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 itkLaplacianRecursiveGaussianImageFilter_h
#define itkLaplacianRecursiveGaussianImageFilter_h
#include "itkRecursiveGaussianImageFilter.h"
#include "itkImage.h"
#include "itkCommand.h"
namespace itk
{
/** \class LaplacianRecursiveGaussianImageFilter
* \brief Computes the Laplacian of Gaussian (LoG) of an image.
*
* Computes the Laplacian of Gaussian (LoG) of an image by convolution
* with the second derivative of a Gaussian.
* This filter is implemented using the recursive gaussian filters.
*
* \ingroup GradientFilters
* \ingroup MultiThreaded
* \ingroup ITKImageFeature
*
* \wiki
* \wikiexample{EdgesAndGradients/LaplacianRecursiveGaussianImageFilter,Compute the Laplacian of Gaussian (LoG) of an image}
* \endwiki
*/
template< typename TInputImage,
typename TOutputImage = TInputImage >
class ITK_TEMPLATE_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);
itkStaticConstMacro(NumberOfSmoothingFilters ,unsigned int, ImageDimension - 1);
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;
/** 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);
RealType GetSigma() const;
/** Define which normalization factor will be used for the Gaussian
* \sa RecursiveGaussianImageFilter::SetNormalizeAcrossScale
*/
void SetNormalizeAcrossScale(bool normalizeInScaleSpace);\
itkGetConstMacro(NormalizeAcrossScale, bool);
protected:
LaplacianRecursiveGaussianImageFilter();
virtual ~LaplacianRecursiveGaussianImageFilter() ITK_OVERRIDE {}
void PrintSelf(std::ostream & os, Indent indent) const ITK_OVERRIDE;
/** Generate Data */
void GenerateData(void) ITK_OVERRIDE;
// Override since the filter produces the entire dataset
void EnlargeOutputRequestedRegion(DataObject *output) ITK_OVERRIDE;
private:
ITK_DISALLOW_COPY_AND_ASSIGN(LaplacianRecursiveGaussianImageFilter);
// special binary functor to perform A+B*ConstValue
//
// Where A is the cumulativeImage, B is the last filter, and
// ConstValue is the spacing scalling
class AddMultConstFunctor
{
public:
typedef AddMultConstFunctor Self;
AddMultConstFunctor( void ) : m_Value( NumericTraits<PixelType>::OneValue() ) {}
bool operator!=( const Self &other ) const { return !(*this==other); }
bool operator==( const Self &other ) const { return m_Value == other.m_Value; }
inline InternalRealType operator()( const InternalRealType &a, const InternalRealType &b ) const
{
return static_cast<InternalRealType>( a + b*m_Value );
}
RealType m_Value;
};
GaussianFilterPointer m_SmoothingFilters[NumberOfSmoothingFilters];
DerivativeFilterPointer m_DerivativeFilter;
/** Normalize the image across scale space */
bool m_NormalizeAcrossScale;
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkLaplacianRecursiveGaussianImageFilter.hxx"
#endif
#endif
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