/usr/include/ITK-4.5/itkEuclideanDistanceMetric.hxx is in libinsighttoolkit4-dev 4.5.0-3.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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*
* 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 __itkEuclideanDistanceMetric_hxx
#define __itkEuclideanDistanceMetric_hxx
#include "itkEuclideanDistanceMetric.h"
namespace itk
{
namespace Statistics
{
template< typename TVector >
inline double
EuclideanDistanceMetric< TVector >
::Evaluate(const MeasurementVectorType & x) const
{
MeasurementVectorSizeType
measurementVectorSize = this->GetMeasurementVectorSize();
if ( measurementVectorSize == 0 )
{
itkExceptionMacro(<< "Please set the MeasurementVectorSize first");
}
MeasurementVectorTraits::Assert(this->GetOrigin(), measurementVectorSize,
"EuclideanDistanceMetric::Evaluate Origin and input vector have different lengths");
double sumOfSquares = NumericTraits< double >::Zero;
for ( unsigned int i = 0; i < measurementVectorSize; i++ )
{
const double temp = this->GetOrigin()[i] - x[i];
sumOfSquares += temp * temp;
}
const double distance = vcl_sqrt(sumOfSquares);
return distance;
}
template< typename TVector >
inline double
EuclideanDistanceMetric< TVector >
::Evaluate(const MeasurementVectorType & x1, const MeasurementVectorType & x2) const
{
MeasurementVectorSizeType measurementVectorSize = NumericTraits<MeasurementVectorType>::GetLength(x1);
if ( measurementVectorSize != NumericTraits<MeasurementVectorType>::GetLength(x2) )
{
itkExceptionMacro(<< "The two measurement vectors have unequal size ("
<< NumericTraits<MeasurementVectorType>::GetLength(x1) << " and "
<< NumericTraits<MeasurementVectorType>::GetLength(x2) << ")");
}
double sumOfSquares = NumericTraits< double >::Zero;
for ( unsigned int i = 0; i < measurementVectorSize; i++ )
{
const double temp = x1[i] - x2[i];
sumOfSquares += temp * temp;
}
const double distance = vcl_sqrt(sumOfSquares);
return distance;
}
template< typename TVector >
inline double
EuclideanDistanceMetric< TVector >
::Evaluate(const ValueType & a, const ValueType & b) const
{
const double temp = a - b;
return vcl_abs(temp);
}
} // end of namespace Statistics
} // end of namespace itk
#endif
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