/usr/include/ITK-4.9/itkVectorMeanImageFunction.hxx is in libinsighttoolkit4-dev 4.9.0-4ubuntu1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 | /*=========================================================================
*
* 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_hxx
#define itkVectorMeanImageFunction_hxx
#include "itkVectorMeanImageFunction.h"
#include "itkConstNeighborhoodIterator.h"
namespace itk
{
/**
* Constructor
*/
template< typename TInputImage, typename TCoordRep >
VectorMeanImageFunction< TInputImage, TCoordRep >
::VectorMeanImageFunction()
{
m_NeighborhoodRadius = 1;
}
/**
*
*/
template< typename TInputImage, typename TCoordRep >
void
VectorMeanImageFunction< TInputImage, TCoordRep >
::PrintSelf(std::ostream & os, Indent indent) const
{
this->Superclass::PrintSelf(os, indent);
os << indent << "NeighborhoodRadius: " << m_NeighborhoodRadius << std::endl;
}
/**
*
*/
template< typename TInputImage, typename TCoordRep >
typename VectorMeanImageFunction< TInputImage, TCoordRep >
::RealType
VectorMeanImageFunction< TInputImage, TCoordRep >
::EvaluateAtIndex(const IndexType & index) const
{
typedef typename TInputImage::PixelType PixelType;
typedef typename PixelType::ValueType PixelComponentType;
typedef typename NumericTraits< PixelComponentType >::RealType PixelComponentRealType;
if ( !this->GetInputImage() || !this->IsInsideBuffer(index) )
{
RealType sum;
sum.Fill( NumericTraits< PixelComponentRealType >::max() );
return sum;
}
// Create an N-d neighborhood kernel, using a zeroflux boundary condition
typename InputImageType::SizeType kernelSize;
kernelSize.Fill(m_NeighborhoodRadius);
ConstNeighborhoodIterator< InputImageType >
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<PixelType>::GetLength( p );
if ( i == 0 )
{
sum = static_cast< RealType >( NumericTraits<PixelType>::ZeroValue( p ) );
}
for ( unsigned int dim = 0; dim < VectorDimension; dim++ )
{
sum[dim] += static_cast< PixelComponentRealType >( p[dim] );
}
}
const unsigned int VectorDimension = NumericTraits<RealType>::GetLength( sum );
for ( unsigned int dim = 0; dim < VectorDimension; dim++ )
{
sum[dim] /= double( it.Size() );
}
return ( sum );
}
} // end namespace itk
#endif
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