aimsalgo 6.0.0
Neuroimaging image processing
masklinresampler.h
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33
34
35#ifndef AIMS_RESAMPLING_MASKLINRESAMPLER_H
36#define AIMS_RESAMPLING_MASKLINRESAMPLER_H
37
40
41namespace aims
42{
43
61template <class T>
62class
63#ifndef AIMS_MASKLINEARRESAMPLER_NO_DEPREC_WARNING
64 __attribute__((__deprecated__))
65#endif
66 MaskLinearResampler : public Resampler< T >
67{
68
69 public:
70
71 using Resampler<T>::defaultValue;
72 using Resampler<T>::setDefaultValue;
73
74 MaskLinearResampler() : Resampler< T >() {
75 // Set background to the same value as the mask (which is hard-coded in
76 // the resampler)
77 setDefaultValue(-32768);
78 };
79 ~MaskLinearResampler() { }
80
81 using Resampler<T>::resample;
82 void resample( const carto::Volume< T >& input_data,
83 const aims::AffineTransformation3d& transform,
84 const T& background,
85 carto::Volume< T > & output_data,
86 bool verbose = false ) const CARTO_OVERRIDE;
87
88 protected:
89
90 static_assert(static_cast<T>(-32768) == -32768,
91 "type T cannot represent the mask value (-32768)");
92
93 void
94 doResample( const carto::Volume< T > &,
95 const soma::Transformation3d &, const T &,
96 const Point3df &, T &, int ) const CARTO_OVERRIDE;
97
98 LinearResampler<T> _linearresampler;
99
100};
101
102} // namespace aims
103
104#endif // !defined(AIMS_RESAMPLING_MASKLINRESAMPLER_H)
#define __attribute__(a)
Volume resampler using linear (order 1) interpolation.
Resampling of data from a volume, applying a transformation.
Definition resampler.h:76