aimsalgo 6.0.0
Neuroimaging image processing
gmlfunc.h
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33
34
35#ifndef AIMS_ESTIMATION_GMLFUNC_H
36#define AIMS_ESTIMATION_GMLFUNC_H
37
38
41#include <aims/math/mathelem.h>
42
43
44//
45// Geman/McLure M-estimator function
46//
48{
49 public:
52
53 float norm( float error ) const;
54 float influence( float error ) const;
55 float weight( float error ) const;
56};
57
58
59inline
60float GMLFunc::norm( float error ) const
61{
62 float e2 = aims::sqr( error );
63 return e2 / ( e2 + _sigma2 );
64}
65
66
67inline
68float GMLFunc::influence( float error ) const
69{
70 return 2.0 * _sigma2 * error / ( aims::sqr( aims::sqr( error ) + _sigma2 ) );
71}
72
73
74inline
75float GMLFunc::weight( float error ) const
76{
77 if ( error )
78 return influence( error ) / error;
79 else
80 return 2.0 / _sigma2;
81}
82
83
84#endif
#define AIMSALGO_API
GMLFunc()
Definition gmlfunc.h:50
~GMLFunc()
Definition gmlfunc.h:51
float influence(float error) const
Definition gmlfunc.h:68
float norm(float error) const
Definition gmlfunc.h:60
float weight(float error) const
Definition gmlfunc.h:75
virtual float influence(float) const
Definition m-func.h:51
float _sigma2
Definition m-func.h:63
virtual float norm(float) const
Definition m-func.h:50
virtual float weight(float) const
Definition m-func.h:52
T sqr(const T &x)