aimsalgo 6.0.0
Neuroimaging image processing
seventhorderresampler_d.h
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33
34
35#ifndef AIMS_RESAMPLING_SEVENTHORDERRESAMPLER_D_H
36#define AIMS_RESAMPLING_SEVENTHORDERRESAMPLER_D_H
37
39
40#include <cmath>
41
42
43namespace aims
44{
45
46template < class T >
48 : SplineResampler< T >()
49{
50
51 this->_poles.push_back(
52 -0.5352804307964381655424037816816460718339231523426924148812 );
53 this->_poles.push_back(
54 -0.122554615192326690515272264359357343605486549427295558490763 );
55 this->_poles.push_back(
56 -0.0091486948096082769285930216516478534156925639545994482648003 );
57 this->_gain = 3.0248282036441843886795463832305782146916878615537002580987;
58
59}
60
61
62template < class T >
66
67
68template < class T >
70{
71
72 return 7;
73
74}
75
76
77template < class T >
78double SeventhOrderResampler< T >::getBSplineWeight( int i, double x ) const
79{
80
81 x = std::fabs( x - ( double )i );
82 if ( x < 1.0 )
83 {
84
85 double f = x * x;
86 return f * ( f * ( f * ( x * ( 1.0 / 144.0 ) - 1.0 / 36.0 ) + 1.0 / 9.0 ) -
87 1.0 / 3.0 ) + 151.0 / 315.0;
88
89 }
90 if ( x < 2.0 )
91 {
92
93 return x * ( x * ( x * ( x * ( x * ( x * ( 0.05 - x * ( 1.0 / 240.0 ) ) -
94 7.0 / 30.0 ) + 0.5 ) - 7.0 / 18.0 ) - 0.1 ) - 7.0 / 90.0 ) +
95 103.0 / 210.0;
96
97 }
98 if ( x < 3.0 )
99 {
100
101 return x * ( x * ( x * ( x * ( x * ( x * ( x * ( 1.0 / 720.0 ) -
102 1.0 / 36.0 ) + 7.0 / 30.0 ) - 19.0 / 18.0 ) + 49.0 / 18.0 ) -
103 23.0 / 6.0 ) + 217.0 / 90.0 ) - 139.0 / 630.0;
104
105 }
106 if ( x < 4.0 )
107 {
108
109 double f = 4.0 - x;
110 x = f * f * f;
111 return x * x * f * ( 1.0 / 5040.0 );
112
113 }
114 return 0.0;
115
116}
117
118} // namespace aims
119
120#endif
int getOrder() const CARTO_OVERRIDE
Spline order (1 to 7)
double getBSplineWeight(int i, double x) const CARTO_OVERRIDE
Returns .
std::vector< double > _poles