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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 itkConvolutionImageFilter_h
#define itkConvolutionImageFilter_h
#include "itkConvolutionImageFilterBase.h"
#include "itkProgressAccumulator.h"
#include "itkZeroFluxNeumannBoundaryCondition.h"
namespace itk
{
/** \class ConvolutionImageFilter
* \brief Convolve a given image with an arbitrary image kernel.
*
* This filter operates by centering the flipped kernel at each pixel
* in the image and computing the inner product between pixel values
* in the image and pixel values in the kernel. The center of the
* kernel is defined as \f$ \lfloor (2*i+s-1)/2 \rfloor \f$ where
* \f$i\f$ is the index and \f$s\f$ is the size of the largest
* possible region of the kernel image. For kernels with odd sizes in
* all dimensions, this corresponds to the center pixel. If a
* dimension of the kernel image has an even size, then the center
* index of the kernel in that dimension will be the largest integral
* index that is less than the continuous index of the image center.
*
* The kernel can optionally be normalized to sum to 1 using
* NormalizeOn(). Normalization is off by default.
*
* \warning This filter ignores the spacing, origin, and orientation
* of the kernel image and treats them as identical to those in the
* input image.
*
* This code was contributed in the Insight Journal paper:
*
* "Image Kernel Convolution"
* by Tustison N., Gee J.
* https://hdl.handle.net/1926/1323
* http://www.insight-journal.org/browse/publication/208
*
* \author Nicholas J. Tustison
* \author James C. Gee
* \ingroup ITKConvolution
*
* \wiki
* \wikiexample{ImageProcessing/ConvolutionImageFilter,Convolve an image with a kernel}
* \endwiki
*/
template< typename TInputImage, typename TKernelImage = TInputImage, typename TOutputImage = TInputImage >
class ITK_TEMPLATE_EXPORT ConvolutionImageFilter :
public ConvolutionImageFilterBase< TInputImage, TKernelImage, TOutputImage >
{
public:
typedef ConvolutionImageFilter Self;
typedef ConvolutionImageFilterBase< TInputImage, TOutputImage > Superclass;
typedef SmartPointer< Self > Pointer;
typedef SmartPointer< const Self > ConstPointer;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** Run-time type information ( and related methods ) */
itkTypeMacro(ConvolutionImageFilter, ConvolutionImageFilterBase);
/** Dimensionality of input and output data is assumed to be the same. */
itkStaticConstMacro(ImageDimension, unsigned int,
TInputImage::ImageDimension);
typedef TInputImage InputImageType;
typedef TOutputImage OutputImageType;
typedef TKernelImage KernelImageType;
typedef typename InputImageType::PixelType InputPixelType;
typedef typename OutputImageType::PixelType OutputPixelType;
typedef typename KernelImageType::PixelType KernelPixelType;
typedef typename InputImageType::IndexType InputIndexType;
typedef typename OutputImageType::IndexType OutputIndexType;
typedef typename KernelImageType::IndexType KernelIndexType;
typedef typename InputImageType::SizeType InputSizeType;
typedef typename OutputImageType::SizeType OutputSizeType;
typedef typename KernelImageType::SizeType KernelSizeType;
typedef typename InputImageType::RegionType InputRegionType;
typedef typename OutputImageType::RegionType OutputRegionType;
typedef typename KernelImageType::RegionType KernelRegionType;
protected:
ConvolutionImageFilter();
~ConvolutionImageFilter() ITK_OVERRIDE {}
/** ConvolutionImageFilter needs the entire image kernel, which in
* general is going to be a different size then the output requested
* region. As such, this filter needs to provide an implementation
* for GenerateInputRequestedRegion() in order to inform the
* pipeline execution model.
*
* \sa ProcessObject::GenerateInputRequestedRegion() */
virtual void GenerateInputRequestedRegion() ITK_OVERRIDE;
/** This filter uses a minipipeline to compute the output. */
void GenerateData() ITK_OVERRIDE;
/** The kernel needs padding if any of the sizes of its dimensions is
* even. This method checks for this condition. */
bool GetKernelNeedsPadding() const;
/** Calculates the padding width needed to make each dimension odd. */
KernelSizeType GetKernelPadSize() const;
/** Calculates the radius of the kernel. */
template< typename TImage >
KernelSizeType GetKernelRadius(const TImage *kernelImage) const;
private:
ITK_DISALLOW_COPY_AND_ASSIGN(ConvolutionImageFilter);
template< typename TImage >
void ComputeConvolution( const TImage *kernelImage,
ProgressAccumulator *progress );
};
}
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkConvolutionImageFilter.hxx"
#endif
#endif
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