/*========================================================================= * * 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 itkMeanReciprocalSquareDifferencePointSetToImageMetric_h #define itkMeanReciprocalSquareDifferencePointSetToImageMetric_h #include "itkPointSetToImageMetric.h" #include "itkCovariantVector.h" #include "itkPoint.h" namespace itk { /** \class MeanReciprocalSquareDifferencePointSetToImageMetric * \brief Computes similarity between pixel values of a point set and * intensity values in an image. * * This metric computes the average squared difference between pixels in * the point set and transformed point set pixels in the moving image * after passing the difference through a function of type * \f$ \frac{1}{1+ \frac{ difference^2 }{ \lambda^2 } }\f$. * \f$\lambda\f$ controls the capture radius of the metric. The term capture * radius used here is in terms of intensity domain and not in the spatial * domain. * * Spatial correspondence between both images is established through a * Transform. * * \ingroup RegistrationMetrics * \ingroup ITKRegistrationCommon */ template class ITK_TEMPLATE_EXPORT MeanReciprocalSquareDifferencePointSetToImageMetric : public PointSetToImageMetric { public: ITK_DISALLOW_COPY_AND_MOVE(MeanReciprocalSquareDifferencePointSetToImageMetric); /** Standard class type aliases. */ using Self = MeanReciprocalSquareDifferencePointSetToImageMetric; using Superclass = PointSetToImageMetric; using Pointer = SmartPointer; using ConstPointer = SmartPointer; /** Method for creation through the object factory. */ itkNewMacro(Self); /** \see LightObject::GetNameOfClass() */ itkOverrideGetNameOfClassMacro(MeanReciprocalSquareDifferencePointSetToImageMetric); /** Types transferred from the base class */ using typename Superclass::RealType; using typename Superclass::TransformType; using typename Superclass::TransformPointer; using typename Superclass::TransformParametersType; using typename Superclass::TransformJacobianType; using typename Superclass::InputPointType; using typename Superclass::OutputPointType; using typename Superclass::GradientPixelType; using typename Superclass::MeasureType; using typename Superclass::DerivativeType; using typename Superclass::FixedPointSetType; using typename Superclass::MovingImageType; using typename Superclass::FixedPointSetConstPointer; using typename Superclass::MovingImageConstPointer; using typename Superclass::PointIterator; using typename Superclass::PointDataIterator; /** Get the derivatives of the match measure. */ void GetDerivative(const TransformParametersType & parameters, DerivativeType & derivative) const override; /** Get the value for single valued optimizers. */ MeasureType GetValue(const TransformParametersType & parameters) const override; /** Get value and derivatives for multiple valued optimizers. */ void GetValueAndDerivative(const TransformParametersType & parameters, MeasureType & value, DerivativeType & derivative) const override; /** Set/Get the lambda distance. (controls the capture radius of the metric). */ itkSetMacro(Lambda, double); itkGetConstMacro(Lambda, double); protected: MeanReciprocalSquareDifferencePointSetToImageMetric(); ~MeanReciprocalSquareDifferencePointSetToImageMetric() override = default; void PrintSelf(std::ostream & os, Indent indent) const override; private: double m_Lambda{}; }; } // end namespace itk #ifndef ITK_MANUAL_INSTANTIATION # include "itkMeanReciprocalSquareDifferencePointSetToImageMetric.hxx" #endif #endif