/*========================================================================= * * Copyright Insight Software Consortium * * 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 itkVectorMeanImageFunction_h #define itkVectorMeanImageFunction_h #include "itkImageFunction.h" #include "itkNumericTraits.h" namespace itk { /** * \class VectorMeanImageFunction * \brief Calculate the mean value in the neighborhood of a pixel in a Vector image. * * 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 MeanImageFunction * * \ingroup ImageFunctions * \ingroup ITKImageFunction */ template< typename TInputImage, typename TCoordRep = float > class ITK_TEMPLATE_EXPORT VectorMeanImageFunction: public ImageFunction< TInputImage, typename NumericTraits< typename TInputImage::PixelType >::RealType, TCoordRep > { public: /** Standard class typedefs. */ typedef VectorMeanImageFunction Self; typedef ImageFunction< TInputImage, typename NumericTraits< typename TInputImage::PixelType >::RealType, TCoordRep > Superclass; typedef SmartPointer< Self > Pointer; typedef SmartPointer< const Self > ConstPointer; /** Run-time type information (and related methods). */ itkTypeMacro(VectorMeanImageFunction, ImageFunction); /** Method for creation through the object factory. */ itkNewMacro(Self); /** InputImageType typedef support. */ typedef TInputImage InputImageType; /** OutputType typdef support. */ typedef typename Superclass::OutputType OutputType; /** Index typedef support. */ typedef typename Superclass::IndexType IndexType; /** ContinuousIndex typedef support. */ typedef typename Superclass::ContinuousIndexType ContinuousIndexType; /** Point typedef support. */ typedef typename Superclass::PointType PointType; /** Dimension of the underlying image. */ itkStaticConstMacro(ImageDimension, unsigned int, InputImageType::ImageDimension); /** Datatype used for the mean */ typedef typename NumericTraits< typename TInputImage::PixelType >::RealType RealType; /** Evalulate the function at specified index */ virtual RealType EvaluateAtIndex(const IndexType & index) const ITK_OVERRIDE; /** Evaluate the function at non-integer positions */ virtual RealType Evaluate(const PointType & point) const ITK_OVERRIDE { IndexType index; this->ConvertPointToNearestIndex(point, index); return this->EvaluateAtIndex(index); } virtual RealType EvaluateAtContinuousIndex( const ContinuousIndexType & cindex) const ITK_OVERRIDE { IndexType index; this->ConvertContinuousIndexToNearestIndex(cindex, index); return this->EvaluateAtIndex(index); } /** Get/Set the radius of the neighborhood over which the statistics are evaluated */ itkSetMacro(NeighborhoodRadius, unsigned int); itkGetConstReferenceMacro(NeighborhoodRadius, unsigned int); protected: VectorMeanImageFunction(); ~VectorMeanImageFunction() ITK_OVERRIDE {} void PrintSelf(std::ostream & os, Indent indent) const ITK_OVERRIDE; private: ITK_DISALLOW_COPY_AND_ASSIGN(VectorMeanImageFunction); unsigned int m_NeighborhoodRadius; }; } // end namespace itk #ifndef ITK_MANUAL_INSTANTIATION #include "itkVectorMeanImageFunction.hxx" #endif #endif