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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 itkIntermodesThresholdImageFilter_h
#define itkIntermodesThresholdImageFilter_h
#include "itkHistogramThresholdImageFilter.h"
#include "itkIntermodesThresholdCalculator.h"
namespace itk
{
/**
* \class IntermodesThresholdImageFilter
* \brief Threshold an image using the Intermodes Threshold
*
* This filter creates a binary thresholded image that separates an
* image into foreground and background components. The filter
* computes the threshold using the IntermodesThresholdCalculator and
* applies that threshold to the input image using the
* BinaryThresholdImageFilter.
*
* \author Richard Beare. Department of Medicine, Monash University,
* Melbourne, Australia.
* \author Gaetan Lehmann. Biologie du Developpement et de la Reproduction, INRA de Jouy-en-Josas, France.
*
* This implementation was taken from the Insight Journal paper:
* https://www.insight-journal.org/browse/publication/811
*
* \sa HistogramThresholdImageFilter
*
* \ingroup Multithreaded
* \ingroup ITKThresholding
*/
template <typename TInputImage, typename TOutputImage, typename TMaskImage = TOutputImage>
class ITK_TEMPLATE_EXPORT IntermodesThresholdImageFilter
: public HistogramThresholdImageFilter<TInputImage, TOutputImage, TMaskImage>
{
public:
ITK_DISALLOW_COPY_AND_MOVE(IntermodesThresholdImageFilter);
/** Standard Self type alias */
using Self = IntermodesThresholdImageFilter;
using Superclass = HistogramThresholdImageFilter<TInputImage, TOutputImage, TMaskImage>;
using Pointer = SmartPointer<Self>;
using ConstPointer = SmartPointer<const Self>;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** \see LightObject::GetNameOfClass() */
itkOverrideGetNameOfClassMacro(IntermodesThresholdImageFilter);
using InputImageType = TInputImage;
using OutputImageType = TOutputImage;
using MaskImageType = TMaskImage;
/** Image pixel value type alias. */
using InputPixelType = typename InputImageType::PixelType;
using OutputPixelType = typename OutputImageType::PixelType;
using MaskPixelType = typename MaskImageType::PixelType;
/** Image related type alias. */
using InputImagePointer = typename InputImageType::Pointer;
using OutputImagePointer = typename OutputImageType::Pointer;
using InputSizeType = typename InputImageType::SizeType;
using InputIndexType = typename InputImageType::IndexType;
using InputImageRegionType = typename InputImageType::RegionType;
using OutputSizeType = typename OutputImageType::SizeType;
using OutputIndexType = typename OutputImageType::IndexType;
using OutputImageRegionType = typename OutputImageType::RegionType;
using MaskSizeType = typename MaskImageType::SizeType;
using MaskIndexType = typename MaskImageType::IndexType;
using MaskImageRegionType = typename MaskImageType::RegionType;
using typename Superclass::HistogramType;
using CalculatorType = IntermodesThresholdCalculator<HistogramType, InputPixelType>;
itkSetMacro(MaximumSmoothingIterations, SizeValueType);
itkGetMacro(MaximumSmoothingIterations, SizeValueType);
/** Select whether midpoint (intermode=true) or minimum between
peaks is used. */
itkSetMacro(UseInterMode, bool);
itkGetConstReferenceMacro(UseInterMode, bool);
itkBooleanMacro(UseInterMode);
/** Image related type alias. */
static constexpr unsigned int InputImageDimension = InputImageType::ImageDimension;
static constexpr unsigned int OutputImageDimension = OutputImageType::ImageDimension;
protected:
IntermodesThresholdImageFilter()
{
auto calculator = CalculatorType::New();
calculator->SetMaximumSmoothingIterations(m_MaximumSmoothingIterations);
calculator->SetUseInterMode(m_UseInterMode);
Superclass::SetCalculator(calculator);
}
~IntermodesThresholdImageFilter() override = default;
void
VerifyPreconditions() ITKv5_CONST override
{
Superclass::VerifyPreconditions();
if (dynamic_cast<const CalculatorType *>(Superclass::GetCalculator()) == nullptr)
{
itkExceptionMacro("Invalid IntermodesCalculator.");
}
}
void
GenerateData() override
{
auto calculator = static_cast<CalculatorType *>(this->Superclass::GetModifiableCalculator());
calculator->SetMaximumSmoothingIterations(m_MaximumSmoothingIterations);
calculator->SetUseInterMode(m_UseInterMode);
this->Superclass::GenerateData();
}
void
PrintSelf(std::ostream & os, Indent indent) const override
{
Superclass::PrintSelf(os, indent);
os << indent << "MaximumSmoothingIterations: " << m_MaximumSmoothingIterations << std::endl;
os << indent << "UseInterMode: " << m_UseInterMode << std::endl;
}
private:
SizeValueType m_MaximumSmoothingIterations{ 1000 };
bool m_UseInterMode{ true };
};
} // end namespace itk
#endif
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