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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 itkRobustAutomaticThresholdImageFilter_h
#define itkRobustAutomaticThresholdImageFilter_h
#include "itkImageToImageFilter.h"
#include "itkRobustAutomaticThresholdCalculator.h"
namespace itk
{
/** \class RobustAutomaticThresholdImageFilter
* \brief Threshold an image using robust automatic threshold selection (RATS) method.
*
* RobustAutomaticThresholdImageFilter takes two inputs: the image to be thresholded
* and a image of gradient magnitude of that image.
* The threshold is computed as the mean of the pixel values in the input image weighted
* by the pixel values in the gradient image.
* The threshold computed that way should be the mean pixel value where the intensity
* change the most.
*
*
* This code was contributed in the Insight Journal paper:
* "Robust Automatic Threshold Selection"
* by Lehmann G.
* https://www.insight-journal.org/browse/publication/134
*
*
* \author Gaetan Lehmann. Biologie du Developpement et de la Reproduction, INRA de Jouy-en-Josas, France.
*
* \ingroup IntensityImageFilters
* \ingroup ITKReview
*/
template <typename TInputImage, typename TGradientImage = TInputImage, typename TOutputImage = TInputImage>
class ITK_TEMPLATE_EXPORT RobustAutomaticThresholdImageFilter : public ImageToImageFilter<TInputImage, TOutputImage>
{
public:
ITK_DISALLOW_COPY_AND_MOVE(RobustAutomaticThresholdImageFilter);
/** Standard Self type alias */
using Self = RobustAutomaticThresholdImageFilter;
using Superclass = ImageToImageFilter<TInputImage, TOutputImage>;
using Pointer = SmartPointer<Self>;
using ConstPointer = SmartPointer<const Self>;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** \see LightObject::GetNameOfClass() */
itkOverrideGetNameOfClassMacro(RobustAutomaticThresholdImageFilter);
/** Standard image type within this class. */
using InputImageType = TInputImage;
using GradientImageType = TGradientImage;
/** Image pixel value type alias. */
using InputPixelType = typename TInputImage::PixelType;
using OutputPixelType = typename TOutputImage::PixelType;
using GradientPixelType = typename TGradientImage::PixelType;
/** Image related type alias. */
using InputImagePointer = typename TInputImage::Pointer;
using OutputImagePointer = typename TOutputImage::Pointer;
using GradientImagePointer = typename TGradientImage::Pointer;
using InputSizeType = typename TInputImage::SizeType;
using InputIndexType = typename TInputImage::IndexType;
using InputImageRegionType = typename TInputImage::RegionType;
using OutputSizeType = typename TOutputImage::SizeType;
using OutputIndexType = typename TOutputImage::IndexType;
using OutputImageRegionType = typename TOutputImage::RegionType;
using CalculatorType = RobustAutomaticThresholdCalculator<TInputImage, TGradientImage>;
/** Image related type alias. */
static constexpr unsigned int InputImageDimension = TInputImage::ImageDimension;
static constexpr unsigned int OutputImageDimension = TOutputImage::ImageDimension;
/** Set the "outside" pixel value. The default value
* OutputPixelType{}. */
itkSetMacro(OutsideValue, OutputPixelType);
/** Get the "outside" pixel value. */
itkGetConstMacro(OutsideValue, OutputPixelType);
/** Set the "inside" pixel value. The default value
* NumericTraits<OutputPixelType>::max() */
itkSetMacro(InsideValue, OutputPixelType);
/** Get the "inside" pixel value. */
itkGetConstMacro(InsideValue, OutputPixelType);
/** Get the computed threshold. */
itkGetConstMacro(Threshold, InputPixelType);
itkSetMacro(Pow, double);
itkGetConstMacro(Pow, double);
#ifdef ITK_USE_CONCEPT_CHECKING
// Begin concept checking
itkConceptMacro(OutputComparableCheck, (Concept::Comparable<OutputPixelType>));
itkConceptMacro(OutputOStreamWritableCheck, (Concept::OStreamWritable<OutputPixelType>));
// End concept checking
#endif
/** Set the gradient image */
void
SetGradientImage(GradientImageType * input)
{
// Process object is not const-correct so the const casting is required.
this->SetNthInput(1, const_cast<GradientImageType *>(input));
}
/** Get the gradient image */
GradientImageType *
GetGradientImage()
{
return static_cast<GradientImageType *>(const_cast<DataObject *>(this->ProcessObject::GetInput(1)));
}
/** Set the input image */
void
SetInput1(TInputImage * input)
{
this->SetInput(input);
}
/** Set the gradient image */
void
SetInput2(GradientImageType * input)
{
this->SetGradientImage(input);
}
protected:
RobustAutomaticThresholdImageFilter();
~RobustAutomaticThresholdImageFilter() override = default;
void
PrintSelf(std::ostream & os, Indent indent) const override;
void
GenerateInputRequestedRegion() override;
void
GenerateData() override;
private:
double m_Pow{ 1 };
InputPixelType m_Threshold{};
OutputPixelType m_InsideValue{};
OutputPixelType m_OutsideValue{};
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
# include "itkRobustAutomaticThresholdImageFilter.hxx"
#endif
#endif
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