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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 itkSquaredDifferenceImageFilter_h
#define itkSquaredDifferenceImageFilter_h
#include "itkBinaryGeneratorImageFilter.h"
namespace itk
{
/**
* \class SquaredDifferenceImageFilter
* \brief Implements pixel-wise the computation of squared difference.
*
* This filter is parameterized over the types of the two
* input images and the type of the output image.
*
* Numeric conversions (castings) are done by the C++ defaults.
*
* The filter will walk over all the pixels in the two input images, and for
* each one of them it will do the following:
*
* - cast the input 1 pixel value to \c double
* - cast the input 2 pixel value to \c double
* - compute the difference of the two pixel values
* - compute the square of the difference
* - cast the \c double value resulting from \c sqr() to the pixel type of the output image
* - store the casted value into the output image.
*
* The filter expect all images to have the same dimension
* (e.g. all 2D, or all 3D, or all ND)
*
* \ingroup IntensityImageFilters MultiThreaded
* \ingroup ITKImageCompare
*
* \sphinx
* \sphinxexample{Filtering/ImageCompare/SquaredDifferenceOfTwoImages,Squared Difference Of Two Images}
* \endsphinx
*/
namespace Functor
{
template <typename TInput1, typename TInput2, typename TOutput>
class SquaredDifference2
{
public:
bool
operator==(const SquaredDifference2 &) const
{
return true;
}
ITK_UNEQUAL_OPERATOR_MEMBER_FUNCTION(SquaredDifference2);
inline TOutput
operator()(const TInput1 & A, const TInput2 & B) const
{
const auto dA = static_cast<double>(A);
const auto dB = static_cast<double>(B);
const double diff = dA - dB;
return static_cast<TOutput>(diff * diff);
}
};
} // namespace Functor
template <typename TInputImage1, typename TInputImage2, typename TOutputImage>
class ITK_TEMPLATE_EXPORT SquaredDifferenceImageFilter
: public BinaryGeneratorImageFilter<TInputImage1, TInputImage2, TOutputImage>
{
public:
ITK_DISALLOW_COPY_AND_MOVE(SquaredDifferenceImageFilter);
/** Standard class type aliases. */
using Self = SquaredDifferenceImageFilter;
using Superclass = BinaryGeneratorImageFilter<TInputImage1, TInputImage2, TOutputImage>;
using Pointer = SmartPointer<Self>;
using ConstPointer = SmartPointer<const Self>;
using FunctorType = Functor::SquaredDifference2<typename TInputImage1::PixelType,
typename TInputImage2::PixelType,
typename TOutputImage::PixelType>;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** \see LightObject::GetNameOfClass() */
itkOverrideGetNameOfClassMacro(SquaredDifferenceImageFilter);
#ifdef ITK_USE_CONCEPT_CHECKING
// Begin concept checking
itkConceptMacro(Input1ConvertibleToDoubleCheck, (Concept::Convertible<typename TInputImage1::PixelType, double>));
itkConceptMacro(Input2ConvertibleToDoubleCheck, (Concept::Convertible<typename TInputImage2::PixelType, double>));
itkConceptMacro(DoubleConvertibleToOutputCheck, (Concept::Convertible<double, typename TOutputImage::PixelType>));
// End concept checking
#endif
protected:
SquaredDifferenceImageFilter()
{
#if !defined(ITK_WRAPPING_PARSER)
Superclass::SetFunctor(FunctorType());
#endif
}
~SquaredDifferenceImageFilter() override = default;
};
} // end namespace itk
#endif
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