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/*=========================================================================
*
* Copyright NumFOCUS
*
* 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
*
* https://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
*
* \sphinx
* \sphinxexample{Filtering/ImageFeature/ComputeLaplacian,Compute Laplacian}
* \endsphinx
*/
template <typename TInputImage, typename TOutputImage = TInputImage>
class ITK_TEMPLATE_EXPORT LaplacianRecursiveGaussianImageFilter : public ImageToImageFilter<TInputImage, TOutputImage>
{
public:
ITK_DISALLOW_COPY_AND_MOVE(LaplacianRecursiveGaussianImageFilter);
/** Standard class type aliases. */
using Self = LaplacianRecursiveGaussianImageFilter;
using Superclass = ImageToImageFilter<TInputImage, TOutputImage>;
using Pointer = SmartPointer<Self>;
using ConstPointer = SmartPointer<const Self>;
/** Pixel Type of the input image */
using InputImageType = TInputImage;
using PixelType = typename InputImageType::PixelType;
/** Image dimension. */
static constexpr unsigned int ImageDimension = TInputImage::ImageDimension;
static constexpr unsigned int NumberOfSmoothingFilters = ImageDimension - 1;
using RealType = typename NumericTraits<PixelType>::RealType;
/** Define the image type for internal computations.
RealType is usually 'double' in NumericTraits.
Here we prefer float in order to save memory. */
using InternalRealType = float;
using RealImageType = Image<InternalRealType, Self::ImageDimension>;
/** Smoothing filter type */
using GaussianFilterType = RecursiveGaussianImageFilter<RealImageType, RealImageType>;
/** Derivative filter type, it will be the first in the pipeline */
using DerivativeFilterType = RecursiveGaussianImageFilter<InputImageType, RealImageType>;
/** Pointer to a gaussian filter. */
using GaussianFilterPointer = typename GaussianFilterType::Pointer;
/** Pointer to a derivative filter. */
using DerivativeFilterPointer = typename DerivativeFilterType::Pointer;
/** Pointer to the Output Image */
using OutputImagePointer = typename TOutputImage::Pointer;
/** Type of the output Image */
using OutputImageType = TOutputImage;
using OutputPixelType = typename OutputImageType::PixelType;
/** Command for observing progress of internal pipeline filters */
using CommandType = MemberCommand<Self>;
using CommandPointer = typename CommandType::Pointer;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** \see LightObject::GetNameOfClass() */
itkOverrideGetNameOfClassMacro(LaplacianRecursiveGaussianImageFilter);
/** Set/Get 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 normalize);
itkGetConstMacro(NormalizeAcrossScale, bool);
protected:
LaplacianRecursiveGaussianImageFilter();
~LaplacianRecursiveGaussianImageFilter() override = default;
void
PrintSelf(std::ostream & os, Indent indent) const override;
/** Generate Data */
void
GenerateData() override;
// Override since the filter produces the entire dataset
void
EnlargeOutputRequestedRegion(DataObject * output) override;
private:
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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