aimsalgo  5.1.2
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 
43 namespace aims
44 {
45 
46 template < 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 
62 template < class T >
64 {
65 }
66 
67 
68 template < class T >
70 {
71 
72  return 7;
73 
74 }
75 
76 
77 template < class T >
78 double 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 .
B-Spline-based resampling.
std::vector< double > _poles