forked from InsightSoftwareConsortium/ITK
-
Notifications
You must be signed in to change notification settings - Fork 0
/
itkMeanReciprocalSquareDifferenceImageToImageMetric.h
115 lines (98 loc) · 4.73 KB
/
itkMeanReciprocalSquareDifferenceImageToImageMetric.h
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 itkMeanReciprocalSquareDifferenceImageToImageMetric_h
#define itkMeanReciprocalSquareDifferenceImageToImageMetric_h
#include "itkImageToImageMetric.h"
#include "itkPoint.h"
namespace itk
{
/** \class MeanReciprocalSquareDifferenceImageToImageMetric
* \brief Computes similarity between two objects to be registered
*
* This Class is templated over the type of the Images to be compared and
* over the type of transformation and Iterpolator to be used.
*
* This metric computes the sum of squared differences between pixels in
* the moving image and pixels in the fixed image after passing the squared
* difference through a function of type \f$ \frac{1}{1+x} \f$.
* Spatial correspondance between both images is established through a
* Transform. Pixel values are taken from the Moving image. Their positions
* are mapped to the Fixed image and result in general in non-grid position
* on it. Values at these non-grid position of the Fixed image are interpolated
* using a user-selected Interpolator.
*
* \ingroup RegistrationMetrics
* \ingroup ITKRegistrationCommon
*/
template< typename TFixedImage, typename TMovingImage >
class ITK_TEMPLATE_EXPORT MeanReciprocalSquareDifferenceImageToImageMetric:
public ImageToImageMetric< TFixedImage, TMovingImage >
{
public:
ITK_DISALLOW_COPY_AND_ASSIGN(MeanReciprocalSquareDifferenceImageToImageMetric);
/** Standard class type aliases. */
using Self = MeanReciprocalSquareDifferenceImageToImageMetric;
using Superclass = ImageToImageMetric< TFixedImage, TMovingImage >;
using Pointer = SmartPointer< Self >;
using ConstPointer = SmartPointer< const Self >;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** Run-time type information (and related methods). */
itkTypeMacro(MeanReciprocalSquareDifferenceImageToImageMetric, ImageToImageMetric);
/** Types transferred from the base class */
using TransformType = typename Superclass::TransformType;
using TransformPointer = typename Superclass::TransformPointer;
using TransformParametersType = typename Superclass::TransformParametersType;
using TransformJacobianType = typename Superclass::TransformJacobianType;
using InputPointType = typename Superclass::InputPointType;
using OutputPointType = typename Superclass::OutputPointType;
using MeasureType = typename Superclass::MeasureType;
using DerivativeType = typename Superclass::DerivativeType;
using FixedImageType = typename Superclass::FixedImageType;
using MovingImageType = typename Superclass::MovingImageType;
using FixedImageConstPointer = typename Superclass::FixedImageConstPointer;
using MovingImageConstPointer = typename Superclass::MovingImageConstPointer;
/** Get the derivatives of the match measure. */
void GetDerivative(const TransformParametersType & parameters,
DerivativeType & derivative) const override;
/** Get the value for single valued optimizers. */
MeasureType GetValue(const TransformParametersType & parameters) const override;
/** Get value and derivatives for multiple valued optimizers. */
void GetValueAndDerivative(const TransformParametersType & parameters,
MeasureType & Value, DerivativeType & derivative) const override;
/** Set/Get Lambda value. This factor regulates the capture radius of
this metric */
itkGetConstMacro(Lambda, double);
itkSetMacro(Lambda, double);
/** Set/Get Delta value. This value is used as the differential in the
* computation of the metric derivative using the finite differences method. */
itkGetConstMacro(Delta, double);
itkSetMacro(Delta, double);
protected:
MeanReciprocalSquareDifferenceImageToImageMetric();
~MeanReciprocalSquareDifferenceImageToImageMetric() override = default;
void PrintSelf(std::ostream & os, Indent indent) const override;
private:
double m_Lambda;
double m_Delta;
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkMeanReciprocalSquareDifferenceImageToImageMetric.hxx"
#endif
#endif