/usr/include/InsightToolkit/Common/itkMeanImageFunction.txx is in libinsighttoolkit3-dev 3.20.1+git20120521-6build1.
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 | /*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkMeanImageFunction.txx
Language: C++
Date: $Date$
Version: $Revision$
Copyright (c) Insight Software Consortium. All rights reserved.
See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notices for more information.
=========================================================================*/
#ifndef __itkMeanImageFunction_txx
#define __itkMeanImageFunction_txx
#include "itkMeanImageFunction.h"
#include "itkNumericTraits.h"
#include "itkConstNeighborhoodIterator.h"
namespace itk
{
/**
* Constructor
*/
template <class TInputImage, class TCoordRep>
MeanImageFunction<TInputImage,TCoordRep>
::MeanImageFunction()
{
m_NeighborhoodRadius = 1;
}
/**
*
*/
template <class TInputImage, class TCoordRep>
void
MeanImageFunction<TInputImage,TCoordRep>
::PrintSelf(std::ostream& os, Indent indent) const
{
this->Superclass::PrintSelf(os,indent);
os << indent << "NeighborhoodRadius: " << m_NeighborhoodRadius << std::endl;
}
/**
*
*/
template <class TInputImage, class TCoordRep>
typename MeanImageFunction<TInputImage,TCoordRep>
::RealType
MeanImageFunction<TInputImage,TCoordRep>
::EvaluateAtIndex(const IndexType& index) const
{
RealType sum;
sum = NumericTraits<RealType>::Zero;
if( !this->GetInputImage() )
{
return ( NumericTraits<RealType>::max() );
}
if ( !this->IsInsideBuffer( index ) )
{
return ( NumericTraits<RealType>::max() );
}
// 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);
// Walk the neighborhood
const unsigned int size = it.Size();
for (unsigned int i = 0; i < size; ++i)
{
sum += static_cast<RealType>(it.GetPixel(i));
}
sum /= double(it.Size());
return ( sum );
}
} // end namespace itk
#endif
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