/*========================================================================= * * 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 itkVectorMeanImageFunction_hxx #define itkVectorMeanImageFunction_hxx #include "itkConstNeighborhoodIterator.h" namespace itk { template VectorMeanImageFunction::VectorMeanImageFunction() { m_NeighborhoodRadius = 1; } template void VectorMeanImageFunction::PrintSelf(std::ostream & os, Indent indent) const { this->Superclass::PrintSelf(os, indent); os << indent << "NeighborhoodRadius: " << m_NeighborhoodRadius << std::endl; } template auto VectorMeanImageFunction::EvaluateAtIndex(const IndexType & index) const -> RealType { using PixelType = typename TInputImage::PixelType; using PixelComponentType = typename PixelType::ValueType; using PixelComponentRealType = typename NumericTraits::RealType; if (!this->GetInputImage() || !this->IsInsideBuffer(index)) { RealType sum; sum.Fill(NumericTraits::max()); return sum; } // Create an N-d neighborhood kernel, using a zeroflux boundary condition typename InputImageType::SizeType kernelSize; kernelSize.Fill(m_NeighborhoodRadius); ConstNeighborhoodIterator it( kernelSize, this->GetInputImage(), this->GetInputImage()->GetBufferedRegion()); // Set the iterator at the desired location it.SetLocation(index); RealType sum; // Walk the neighborhood const unsigned int size = it.Size(); for (unsigned int i = 0; i < size; ++i) { PixelType p = it.GetPixel(i); const unsigned int VectorDimension = NumericTraits::GetLength(p); if (i == 0) { sum = static_cast(NumericTraits::ZeroValue(p)); } for (unsigned int dim = 0; dim < VectorDimension; ++dim) { sum[dim] += static_cast(p[dim]); } } const unsigned int VectorDimension = NumericTraits::GetLength(sum); for (unsigned int dim = 0; dim < VectorDimension; ++dim) { sum[dim] /= static_cast(it.Size()); } return (sum); } } // end namespace itk #endif