/*========================================================================= * * 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 * * http://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 itkMeanSquaresHistogramImageToImageMetric_h #define itkMeanSquaresHistogramImageToImageMetric_h #include "itkHistogramImageToImageMetric.h" namespace itk { /** \class MeanSquaresHistogramImageToImageMetric * \brief Computes mean squared difference similarity measure between * two images to be registered. * * This class is templated over the type of the fixed and moving * images to be compared. * * This metric computes the similarity measure between pixels in the * moving image and pixels in the fixed images using a histogram. * * \ingroup RegistrationMetrics * \ingroup ITKRegistrationCommon */ template class ITK_TEMPLATE_EXPORT MeanSquaresHistogramImageToImageMetric : public HistogramImageToImageMetric { public: ITK_DISALLOW_COPY_AND_MOVE(MeanSquaresHistogramImageToImageMetric); /** Standard class type aliases. */ using Self = MeanSquaresHistogramImageToImageMetric; using Superclass = HistogramImageToImageMetric; using Pointer = SmartPointer; using ConstPointer = SmartPointer; /** Method for creation through the object factory. */ itkNewMacro(Self); /** Run-time type information (and related methods). */ itkTypeMacro(MeanSquaresHistogramImageToImageMetric, HistogramImageToImageMetric); /** Types transferred from the base class */ using RealType = typename Superclass::RealType; using TransformType = typename Superclass::TransformType; using TransformPointer = typename Superclass::TransformPointer; using TransformParametersType = typename Superclass::TransformParametersType; using TransformJacobianType = typename Superclass::TransformJacobianType; using GradientPixelType = typename Superclass::GradientPixelType; using MeasureType = typename Superclass::MeasureType; using DerivativeType = typename Superclass::DerivativeType; using FixedImageType = typename Superclass::FixedImageType; using MovingImageType = typename Superclass::MovingImageType; using FixedImageConstPointer = typename Superclass::FixedImageConstPointer; using MovingImageConstPointer = typename Superclass::MovingImageConstPointer; using HistogramType = typename Superclass::HistogramType; using HistogramFrequencyType = typename HistogramType::AbsoluteFrequencyType; using HistogramIteratorType = typename HistogramType::Iterator; using HistogramMeasurementVectorType = typename HistogramType::MeasurementVectorType; protected: /** Constructor is protected to ensure that \c New() function is used to create instances. */ MeanSquaresHistogramImageToImageMetric() = default; ~MeanSquaresHistogramImageToImageMetric() override = default; /** Evaluates the sum of squared differences from the histogram. */ MeasureType EvaluateMeasure(HistogramType & histogram) const override; }; } // End namespace itk. #ifndef ITK_MANUAL_INSTANTIATION # include "itkMeanSquaresHistogramImageToImageMetric.hxx" #endif #endif // itkMeanSquaresHistogramImageToImageMetric_h