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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 itkRobustAutomaticThresholdCalculator_h
#define itkRobustAutomaticThresholdCalculator_h
#include "itkMacro.h"
#include "itkImage.h"
namespace itk
{
/** \class RobustAutomaticThresholdCalculator
* \brief Compute the robust automatic threshold
*
*
* This code was contributed in the Insight Journal paper:
* "Robust Automatic Threshold Selection"
* by Lehmann G.
* https://www.insight-journal.org/browse/publication/134
*
*
* \ingroup Operators
* \ingroup ITKReview
*/
template <typename TInputImage, typename TGradientImage>
class ITK_TEMPLATE_EXPORT RobustAutomaticThresholdCalculator : public Object
{
public:
ITK_DISALLOW_COPY_AND_MOVE(RobustAutomaticThresholdCalculator);
/** Standard class type aliases. */
using Self = RobustAutomaticThresholdCalculator;
using Superclass = Object;
using Pointer = SmartPointer<Self>;
using ConstPointer = SmartPointer<const Self>;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** \see LightObject::GetNameOfClass() */
itkOverrideGetNameOfClassMacro(RobustAutomaticThresholdCalculator);
/** Extract the dimension of the image. */
static constexpr unsigned int ImageDimension = TInputImage::ImageDimension;
/** Standard image type within this class. */
using InputImageType = TInputImage;
using GradientImageType = TGradientImage;
/** Standard image type pointer within this class. */
using InputImagePointer = typename InputImageType::Pointer;
using InputImageConstPointer = typename InputImageType::ConstPointer;
using GradientImagePointer = typename GradientImageType::Pointer;
using GradientImageConstPointer = typename GradientImageType::ConstPointer;
using InputPixelType = typename InputImageType::PixelType;
using GradientPixelType = typename GradientImageType::PixelType;
/** Set the input image. */
virtual void
SetInput(const InputImageType * image)
{
if (m_Input != image)
{
m_Input = image;
this->Modified();
m_Valid = false;
}
}
virtual void
SetGradient(const GradientImageType * image)
{
if (m_Gradient != image)
{
m_Gradient = image;
this->Modified();
m_Valid = false;
}
}
itkSetMacro(Pow, double);
itkGetConstMacro(Pow, double);
/** Compute moments of a new or modified image.
* This method computes the moments of the image given as a
* parameter and stores them in the object. The values of these
* moments and related parameters can then be retrieved by using
* other methods of this object. */
void
Compute();
const InputPixelType &
GetOutput() const;
protected:
RobustAutomaticThresholdCalculator();
~RobustAutomaticThresholdCalculator() override = default;
void
PrintSelf(std::ostream & os, Indent indent) const override;
private:
bool m_Valid{ false }; // Have moments been computed yet?
double m_Pow{ 1 };
InputPixelType m_Output{};
InputImageConstPointer m_Input{};
GradientImageConstPointer m_Gradient{};
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
# include "itkRobustAutomaticThresholdCalculator.hxx"
#endif
#endif
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