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
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
|
/*=========================================================================
*
* 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 itkCorrelationCoefficientHistogramImageToImageMetric_h
#define itkCorrelationCoefficientHistogramImageToImageMetric_h
#include "itkHistogramImageToImageMetric.h"
namespace itk
{
/** \class CorrelationCoefficientHistogramImageToImageMetric
\brief Computes correlation coefficient similarity measure between two
images to be registered.
This class is templated over the type of the fixed and moving
images to be compared.
This metric computes the similarity measure between pixels in the
moving image and pixels in the fixed images using a histogram.
\ingroup RegistrationMetrics
* \ingroup ITKRegistrationCommon
*/
template< typename TFixedImage, typename TMovingImage >
class ITK_TEMPLATE_EXPORT CorrelationCoefficientHistogramImageToImageMetric:
public HistogramImageToImageMetric< TFixedImage, TMovingImage >
{
public:
/** Standard class typedefs. */
typedef CorrelationCoefficientHistogramImageToImageMetric Self;
typedef HistogramImageToImageMetric< TFixedImage, TMovingImage > Superclass;
typedef SmartPointer< Self > Pointer;
typedef SmartPointer< const Self > ConstPointer;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** Run-time type information (and related methods). */
itkTypeMacro(CorrelationCoefficientHistogramImageToImageMetric,
HistogramImageToImageMetric);
/** Types transferred from the base class */
typedef typename Superclass::RealType RealType;
typedef typename Superclass::TransformType TransformType;
typedef typename Superclass::TransformPointer TransformPointer;
typedef typename Superclass::TransformParametersType TransformParametersType;
typedef typename Superclass::TransformJacobianType TransformJacobianType;
typedef typename Superclass::GradientPixelType GradientPixelType;
typedef typename Superclass::MeasureType MeasureType;
typedef typename Superclass::DerivativeType DerivativeType;
typedef typename Superclass::FixedImageType FixedImageType;
typedef typename Superclass::MovingImageType MovingImageType;
typedef typename Superclass::FixedImageConstPointer FixedImageConstPointer;
typedef typename Superclass::MovingImageConstPointer MovingImageConstPointer;
typedef typename Superclass::HistogramType HistogramType;
typedef typename HistogramType::AbsoluteFrequencyType HistogramAbsoluteFrequencyType;
typedef HistogramAbsoluteFrequencyType HistogramFrequencyType;
typedef typename HistogramType::Iterator HistogramIteratorType;
typedef typename HistogramType::MeasurementVectorType
HistogramMeasurementVectorType;
protected:
/** Constructor is protected to ensure that \c New() function is used to
create instances. */
CorrelationCoefficientHistogramImageToImageMetric(){}
virtual ~CorrelationCoefficientHistogramImageToImageMetric() ITK_OVERRIDE {}
/** Evaluates the sum of squared differences from the histogram. */
virtual MeasureType EvaluateMeasure(HistogramType & histogram) const ITK_OVERRIDE;
private:
/** Returns the mean in the x-direction. */
MeasureType MeanX(HistogramType & histogram) const;
/** Returns the mean in the y-direction. */
MeasureType MeanY(HistogramType & histogram) const;
/** Returns the variance in the x-direction. */
MeasureType VarianceX(HistogramType & histogram) const;
/** Returns the variance in the y-direction. */
MeasureType VarianceY(HistogramType & histogram) const;
/** Returns the variance. */
MeasureType Covariance(HistogramType & histogram) const;
// Purposely not implemented.
CorrelationCoefficientHistogramImageToImageMetric(Self const &);
void operator=(Self const &); // Purposely not implemented.
};
} // End namespace itk.
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkCorrelationCoefficientHistogramImageToImageMetric.hxx"
#endif
#endif // itkCorrelationCoefficientHistogramImageToImageMetric_h
|
