/*========================================================================= * * 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 itkMeanImageFunction_h #define itkMeanImageFunction_h #include "itkImageFunction.h" #include "itkImageNeighborhoodOffsets.h" #include "itkNumericTraits.h" #include "itkOffset.h" #include namespace itk { /** * \class MeanImageFunction * \brief Calculate the mean value in the neighborhood of a pixel * * Calculate the mean pixel value over the standard 8, 26, etc. connected * neighborhood. This calculation uses a ZeroFluxNeumannBoundaryCondition. * * If called with a ContinuousIndex or Point, the calculation is performed * at the nearest neighbor. * * This class is templated over the input image type and the * coordinate representation type (e.g. float or double). * * \sa VectorMeanImageFunction * * \ingroup ImageFunctions * \ingroup ITKImageFunction */ template class ITK_TEMPLATE_EXPORT MeanImageFunction : public ImageFunction::RealType, TCoordRep> { public: ITK_DISALLOW_COPY_AND_MOVE(MeanImageFunction); /** Standard class type aliases. */ using Self = MeanImageFunction; using Superclass = ImageFunction::RealType, TCoordRep>; using Pointer = SmartPointer; using ConstPointer = SmartPointer; /** \see LightObject::GetNameOfClass() */ itkOverrideGetNameOfClassMacro(MeanImageFunction); /** Method for creation through the object factory. */ itkNewMacro(Self); /** InputImageType type alias support */ using InputImageType = TInputImage; /** InputPixel type alias support */ using typename Superclass::InputPixelType; /** OutputType typedef support. */ using typename Superclass::OutputType; /** Index type alias support */ using typename Superclass::IndexType; /** ContinuousIndex type alias support */ using typename Superclass::ContinuousIndexType; /** Point type alias support */ using typename Superclass::PointType; /** Size type of the underlying image. */ using ImageSizeType = typename InputImageType::SizeType; /** Dimension of the underlying image. */ static constexpr unsigned int ImageDimension = InputImageType::ImageDimension; /** Datatype used for the mean */ using RealType = typename NumericTraits::RealType; /** Evaluate the function at specified index */ RealType EvaluateAtIndex(const IndexType & index) const override; /** Evaluate the function at non-integer positions */ RealType Evaluate(const PointType & point) const override { IndexType index; this->ConvertPointToNearestIndex(point, index); return this->EvaluateAtIndex(index); } RealType EvaluateAtContinuousIndex(const ContinuousIndexType & cindex) const override { IndexType index; this->ConvertContinuousIndexToNearestIndex(cindex, index); return this->EvaluateAtIndex(index); } /** Get/Set the radius of the neighborhood over which the statistics are evaluated */ void SetNeighborhoodRadius(unsigned int); itkGetConstReferenceMacro(NeighborhoodRadius, unsigned int); protected: MeanImageFunction(); ~MeanImageFunction() override = default; void PrintSelf(std::ostream & os, Indent indent) const override; private: unsigned int m_NeighborhoodRadius{ 1 }; std::vector> m_NeighborhoodOffsets{ GenerateRectangularImageNeighborhoodOffsets( ImageSizeType::Filled(1)) }; }; } // end namespace itk #ifndef ITK_MANUAL_INSTANTIATION # include "itkMeanImageFunction.hxx" #endif #endif