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/*=========================================================================
*
* 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 itkEuclideanSquareDistanceMetric_hxx
#define itkEuclideanSquareDistanceMetric_hxx
namespace itk
{
namespace Statistics
{
template <typename 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 = 0.0;
for (unsigned int i = 0; i < measurementVectorSize; ++i)
{
temp = this->GetOrigin()[i] - x[i];
distance += temp * temp;
}
return distance;
}
template <typename TVector>
inline double
EuclideanSquareDistanceMetric<TVector>::Evaluate(const MeasurementVectorType & x1,
const MeasurementVectorType & x2) const
{
MeasurementVectorSizeType measurementVectorSize = NumericTraits<MeasurementVectorType>::GetLength(x1);
if (measurementVectorSize != NumericTraits<MeasurementVectorType>::GetLength(x2))
{
itkExceptionMacro("EuclideanSquareDistanceMetric:: The two measurement vectors have unequal size");
}
double temp, distance = 0.0;
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
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