aimsalgo 6.0.0
Neuroimaging image processing
nearestneighborresampler_d.h
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33
34
35#ifndef AIMS_RESAMPLING_NEARESTNEIGHBORRESAMPLER_D_H
36#define AIMS_RESAMPLING_NEARESTNEIGHBORRESAMPLER_D_H
37
39
40#include <cmath>
41
42using namespace std;
43
44namespace aims
45{
46
47template <class T>
48void
50 const soma::Transformation3d &invTransform3d,
51 const T &outBackground,
52 const Point3df &outLocation,
53 T &outValue, int t ) const
54{
55
56 Point3df inLocation = invTransform3d.transform( outLocation );
57
58 doResample(inVolume, inLocation, outBackground, outValue, t);
59}
60
61template <class T>
62void
64 const Point3df &inLocation,
65 const T &outBackground,
66 T &outValue, int t ) const
67{
68 float xf = round(inLocation[0]);
69 float yf = round(inLocation[1]);
70 float zf = round(inLocation[2]);
71
72 std::vector<int> dims = inVolume.getSize();
73
74 // The test is done using floating-point so that NaN values are excluded (the
75 // background value is returned if the transformation yields NaN)
76 if ( ( xf >= 0 ) && ( xf < dims[0] ) &&
77 ( yf >= 0 ) && ( yf < dims[1] ) &&
78 ( zf >= 0 ) && ( zf < dims[2] ) )
79 {
80 int x = static_cast<int>(xf);
81 int y = static_cast<int>(yf);
82 int z = static_cast<int>(zf);
83 outValue = inVolume.at( x, y, z, t );
84 }
85 else
86 {
87 outValue = outBackground;
88 }
89
90}
91
92} // namespace aims
93
94#endif
void doResample(const carto::Volume< T > &inVolume, const Point3df &inLocation, const T &outBackground, T &outValue, int t) const
std::vector< int > getSize() const
const T & at(long x, long y=0, long z=0, long t=0) const
Point3dd transform(double x, double y, double z) const
STL namespace.
AimsVector< float, 3 > Point3df