aimsalgo 6.0.0
Neuroimaging image processing
sixthorderresampler_d.h
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33
34
35#ifndef AIMS_RESAMPLING_SIXTHORDERRESAMPLER_D_H
36#define AIMS_RESAMPLING_SIXTHORDERRESAMPLER_D_H
37
39
40#include <cmath>
41
42namespace aims
43{
44
45template < class T >
47 : SplineResampler< T >()
48{
49
50 this->_poles.push_back(
51 -0.488294589303044755130118038883789062112279161239377608394 );
52 this->_poles.push_back(
53 -0.081679271076237512597937765737059080653379610398148178525368 );
54 this->_poles.push_back(
55 -0.00141415180832581775108724397655859252786416905534669851652709 );
56 this->_gain = 2.598975999348577818390170516255374207847876853191217652822;
57
58}
59
60
61template < class T >
65
66
67template < class T >
69{
70
71 return 6;
72
73}
74
75
76template < class T >
77double SixthOrderResampler< T >::getBSplineWeight( int i, double x ) const
78{
79
80 x = std::fabs( x - ( double )i );
81 if ( x < 0.5 )
82 {
83
84 x *= x;
85 return x * ( x * ( 7.0 / 48.0 - x * ( 1.0 / 36.0 ) ) - 77.0 / 192.0 ) +
86 5887.0 / 11520.0;
87
88 }
89 if ( x < 1.5 )
90 {
91
92 return x * ( x * ( x * ( x * ( x * ( x * ( 1.0 / 48.0 ) - 7.0 / 48.0 ) +
93 0.328125 ) - 35.0 / 288.0 ) - 91.0 / 256.0 ) - 7.0 / 768.0 ) +
94 7861.0 / 15360.0;
95
96 }
97 if ( x < 2.5 )
98 {
99
100 return x * ( x * ( x * ( x * ( x * ( 7.0 / 60.0 - x * ( 1.0 / 120.0 ) ) -
101 0.65625 ) + 133.0 / 72.0 ) - 2.5703125 ) + 1267.0 / 960.0 ) +
102 1379.0 / 7680.0;
103
104 }
105 if ( x < 3.5 )
106 {
107
108 x -= 3.5;
109 x *= x * x;
110 return x * x * ( 1.0 / 720.0 );
111
112 }
113 return 0.0;
114
115}
116
117} // namespace aims
118
119#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