/usr/include/InsightToolkit/Review/Statistics/itkEuclideanSquareDistanceMetric.txx is in libinsighttoolkit3-dev 3.20.1-1.
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 | /*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkEuclideanSquareDistanceMetric.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 __itkEuclideanSquareDistanceMetric_txx
#define __itkEuclideanSquareDistanceMetric_txx
namespace itk {
namespace Statistics {
template< class TVector >
inline double
EuclideanSquareDistanceMetric< TVector >
::Evaluate(const MeasurementVectorType &x) const
{
MeasurementVectorSizeType
measurementVectorSize = this->GetMeasurementVectorSize();
if(measurementVectorSize == 0)
{
itkExceptionMacro( << "Please set the MeasurementVectorSize first" );
}
MeasurementVectorTraits::Assert( this->GetOrigin(),measurementVectorSize,
"EuclideanSquareDistanceMetric::Evaluate Origin and input vector have different lengths");
double temp, distance = NumericTraits< double >::Zero;
for(unsigned int i = 0; i < measurementVectorSize; i++)
{
temp = this->GetOrigin()[i] - x[i];
distance += temp * temp;
}
return distance;
}
template< class TVector >
inline double
EuclideanSquareDistanceMetric< TVector >
::Evaluate(const MeasurementVectorType &x1, const MeasurementVectorType &x2) const
{
MeasurementVectorSizeType measurementVectorSize = MeasurementVectorTraits::GetLength( x1 );
if (measurementVectorSize != MeasurementVectorTraits::GetLength(x2))
{
itkExceptionMacro( << "EuclideanSquareDistanceMetric:: The two measurement vectors have unequal size" );
}
double temp, distance = NumericTraits< double >::Zero;
for(unsigned int i = 0; i < measurementVectorSize; i++)
{
temp = x1[i] - x2[i];
distance += temp * temp;
}
return distance;
}
} // end of namespace Statistics
} // end of namespace itk
#endif
|