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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 itkBinaryMedianImageFilter_h
#define itkBinaryMedianImageFilter_h
#include "itkImageToImageFilter.h"
namespace itk
{
/**
* \class BinaryMedianImageFilter
* \brief Applies a version of the median filter optimized for binary images.
*
* This filter was contributed by Bjorn Hanch Sollie after identifying that
* the generic Median filter performed unnecessary operations when the input
* image is binary.
*
* This filter computes an image where a given pixel is the median value
* of the pixels in a neighborhood about the corresponding input pixel.
* For the case of binary images the median can be obtained by simply counting
* the neighbors that are foreground.
*
* A median filter is one of the family of nonlinear filters. It is
* used to smooth an image without being biased by outliers or shot noise.
*
* \sa Image
* \sa Neighborhood
* \sa NeighborhoodOperator
* \sa NeighborhoodIterator
*
* \ingroup IntensityImageFilters
* \ingroup ITKLabelVoting
*/
template <typename TInputImage, typename TOutputImage>
class ITK_TEMPLATE_EXPORT BinaryMedianImageFilter : public ImageToImageFilter<TInputImage, TOutputImage>
{
public:
ITK_DISALLOW_COPY_AND_MOVE(BinaryMedianImageFilter);
/** Extract dimension from input and output image. */
static constexpr unsigned int InputImageDimension = TInputImage::ImageDimension;
static constexpr unsigned int OutputImageDimension = TOutputImage::ImageDimension;
/** Convenient type alias for simplifying declarations. */
using InputImageType = TInputImage;
using OutputImageType = TOutputImage;
/** Standard class type aliases. */
using Self = BinaryMedianImageFilter;
using Superclass = ImageToImageFilter<InputImageType, OutputImageType>;
using Pointer = SmartPointer<Self>;
using ConstPointer = SmartPointer<const Self>;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** \see LightObject::GetNameOfClass() */
itkOverrideGetNameOfClassMacro(BinaryMedianImageFilter);
/** Image type alias support */
using InputPixelType = typename InputImageType::PixelType;
using OutputPixelType = typename OutputImageType::PixelType;
using InputImageRegionType = typename InputImageType::RegionType;
using OutputImageRegionType = typename OutputImageType::RegionType;
using InputSizeType = typename InputImageType::SizeType;
/** Set the radius of the neighborhood used to compute the median. */
itkSetMacro(Radius, InputSizeType);
/** Get the radius of the neighborhood used to compute the median */
itkGetConstReferenceMacro(Radius, InputSizeType);
/** Set the value associated with the Foreground (or the object) on
the binary input image and the Background . */
itkSetMacro(BackgroundValue, InputPixelType);
itkSetMacro(ForegroundValue, InputPixelType);
/** Get the value associated with the Foreground (or the object) on the
binary input image and the Background . */
itkGetConstReferenceMacro(BackgroundValue, InputPixelType);
itkGetConstReferenceMacro(ForegroundValue, InputPixelType);
/** BinaryMedianImageFilter needs a larger input requested region than
* the output requested region. As such, BinaryMedianImageFilter needs
* to provide an implementation for GenerateInputRequestedRegion()
* in order to inform the pipeline execution model.
*
* \sa ImageToImageFilter::GenerateInputRequestedRegion() */
void
GenerateInputRequestedRegion() override;
#ifdef ITK_USE_CONCEPT_CHECKING
// Begin concept checking
itkConceptMacro(InputEqualityComparableCheck, (Concept::EqualityComparable<typename TInputImage::PixelType>));
itkConceptMacro(InputConvertibleToOutputCheck,
(Concept::Convertible<typename TInputImage::PixelType, typename TOutputImage::PixelType>));
itkConceptMacro(SameDimensionCheck, (Concept::SameDimension<InputImageDimension, OutputImageDimension>));
itkConceptMacro(InputOStreamWritableCheck, (Concept::OStreamWritable<typename TInputImage::PixelType>));
// End concept checking
#endif
protected:
BinaryMedianImageFilter();
~BinaryMedianImageFilter() override = default;
void
PrintSelf(std::ostream & os, Indent indent) const override;
/** BinaryMedianImageFilter can be implemented as a multithreaded filter.
* Therefore, this implementation provides a DynamicThreadedGenerateData()
* routine which is called for each processing thread. The output
* image data is allocated automatically by the superclass prior to
* calling DynamicThreadedGenerateData(). DynamicThreadedGenerateData can only
* write to the portion of the output image specified by the
* parameter "outputRegionForThread"
*
* \sa ImageToImageFilter::ThreadedGenerateData(),
* ImageToImageFilter::GenerateData() */
void
DynamicThreadedGenerateData(const OutputImageRegionType & outputRegionForThread) override;
private:
InputSizeType m_Radius{};
InputPixelType m_ForegroundValue{};
InputPixelType m_BackgroundValue{};
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
# include "itkBinaryMedianImageFilter.hxx"
#endif
#endif
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