A.I.M.S algorithms


bucketmapsampler.h
Go to the documentation of this file.
1 /* This software and supporting documentation are distributed by
2  * Institut Federatif de Recherche 49
3  * CEA/NeuroSpin, Batiment 145,
4  * 91191 Gif-sur-Yvette cedex
5  * France
6  *
7  * This software is governed by the CeCILL-B license under
8  * French law and abiding by the rules of distribution of free software.
9  * You can use, modify and/or redistribute the software under the
10  * terms of the CeCILL-B license as circulated by CEA, CNRS
11  * and INRIA at the following URL "http://www.cecill.info".
12  *
13  * As a counterpart to the access to the source code and rights to copy,
14  * modify and redistribute granted by the license, users are provided only
15  * with a limited warranty and the software's author, the holder of the
16  * economic rights, and the successive licensors have only limited
17  * liability.
18  *
19  * In this respect, the user's attention is drawn to the risks associated
20  * with loading, using, modifying and/or developing or reproducing the
21  * software by the user in light of its specific status of free software,
22  * that may mean that it is complicated to manipulate, and that also
23  * therefore means that it is reserved for developers and experienced
24  * professionals having in-depth computer knowledge. Users are therefore
25  * encouraged to load and test the software's suitability as regards their
26  * requirements in conditions enabling the security of their systems and/or
27  * data to be ensured and, more generally, to use and operate it in the
28  * same conditions as regards security.
29  *
30  * The fact that you are presently reading this means that you have had
31  * knowledge of the CeCILL-B license and that you accept its terms.
32  */
33 
34 
35 #ifndef AIMS_RESAMPLING_BUCKETMAPSAMPLER_H
36 #define AIMS_RESAMPLING_BUCKETMAPSAMPLER_H
37 
38 #include <vector>
40 #include <aims/vector/vector.h>
41 #include <aims/bucket/bucketMap.h>
44 
45 namespace aimsalgo
46 {
47  template <class T,unsigned D>
49  {
50  public:
52  virtual ~BucketMapSampler() { }
53 
63  virtual carto::Object sample( Samplable<T,D> & object, AimsVector<T,D> & start, AimsVector<T,D> & sizes, AimsVector<T,D> & resolution );
65 
67 
73  virtual void sample(Samplable<T,D> * data, unsigned dimensionIndex, AimsVector<short,D> & partialCoords, aims::BucketMap<Void> & result);
75 
77 
82  virtual AimsVector<short,D> normalize(AimsVector<T,D> & vector, AimsVector<T,D> & resolution);
84 
86 
91  virtual AimsVector<T,D> denormalize(AimsVector<short,D> & vector, AimsVector<T,D> & resolution);
93  private:
94  AimsVector<T,D> _start;
95  AimsVector<short,D> _normalizedStart;
96  AimsVector<T,D> _sizes;
97  AimsVector<short,D> _normalizedSizes;
98  AimsVector<T,D> _resolution;
99  };
100 
101 }
102 
103 #endif
virtual AimsVector< short, D > normalize(AimsVector< T, D > &vector, AimsVector< T, D > &resolution)
Normalize an AimsVector by dividing with the resolution.
virtual carto::Object sample(Samplable< T, D > &object, AimsVector< T, D > &start, AimsVector< T, D > &sizes, AimsVector< T, D > &resolution)
Sample a Samplable object.
virtual AimsVector< T, D > denormalize(AimsVector< short, D > &vector, AimsVector< T, D > &resolution)
Denormalize an AimsVector by multiplying with the resolution.