aimsalgo  5.1.2
Neuroimaging image processing
cubicresampler_d.h
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33 
34 
35 #ifndef AIMS_RESAMPLING_CUBICRESAMPLER_D_H
36 #define AIMS_RESAMPLING_CUBICRESAMPLER_D_H
37 
39 
40 #include <cmath>
41 
42 namespace aims
43 {
44 
45 template < class T >
47  : SplineResampler< T >()
48 {
49 
50  this->_poles.push_back( std::sqrt( 3.0 ) - 2.0 );
51  this->_gain = 12.0 - std::sqrt( 108.0 );
52 
53 }
54 
55 
56 template < class T >
58 {
59 }
60 
61 
62 template < class T >
64 {
65 
66  return 3;
67 
68 }
69 
70 
71 template < class T >
72 double CubicResampler< T >::getBSplineWeight( int i, double x ) const
73 {
74 
75  x = std::fabs( x - ( double )i );
76  if ( x < 1.0 )
77  {
78 
79  return ( x * x * ( x - 2.0 ) * 3.0 + 4.0 ) * ( 1.0 / 6.0 );
80 
81  }
82  if ( x < 2.0 )
83  {
84 
85  x = 2.0 - x;
86  return x * x * x * ( 1.0 / 6.0 );
87 
88  }
89  return 0.0;
90 
91 }
92 
93 } // namespace aims
94 
95 #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