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
|
/*=========================================================================
*
* 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 itkMeanSquaresHistogramImageToImageMetric_hxx
#define itkMeanSquaresHistogramImageToImageMetric_hxx
#include "itkMeanSquaresHistogramImageToImageMetric.h"
namespace itk
{
template< typename TFixedImage, typename TMovingImage >
typename MeanSquaresHistogramImageToImageMetric< TFixedImage, TMovingImage >
::MeasureType
MeanSquaresHistogramImageToImageMetric< TFixedImage, TMovingImage >
::EvaluateMeasure(HistogramType & histogram) const
{
MeasureType measure = NumericTraits< MeasureType >::ZeroValue();
HistogramIteratorType it = histogram.Begin();
HistogramIteratorType end = histogram.End();
HistogramFrequencyType totalNumberOfSamples =
NumericTraits< HistogramFrequencyType >::ZeroValue();
while ( it != end )
{
HistogramFrequencyType freq = it.GetFrequency();
if ( freq > 0 )
{
HistogramMeasurementVectorType value = it.GetMeasurementVector();
measure += ( value[0] - value[1] ) * ( value[0] - value[1] ) * freq;
totalNumberOfSamples += freq;
}
++it;
}
measure /= totalNumberOfSamples;
return measure;
}
} // End namespace itk
#endif // itkMeanSquaresHistogramImageToImageMetric_hxx
|
