aimsdata  5.1.2
Neuroimaging data handling
mask_d.h
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33 
34 #ifndef AIMS_RESAMPLING_MASK_D_H
35 #define AIMS_RESAMPLING_MASK_D_H
36 
37 #include <aims/resampling/mask.h>
38 
39 namespace aims {
40 
41  template <typename T>
44  const T & val, bool insideval )
45  {
46  BucketMap<Void>::const_iterator ib, eb = src.end();
49  std::vector<float> vs;
50  src.header().getProperty( "voxel_size", vs );
51  while( vs.size() < 4 )
52  vs.push_back( 1. );
53  out->setSizeXYZT( vs[0], vs[1], vs[2], vs[3] );
54  out->setHeader( src.header() ); // maybe a bad idea ?
55  int t;
56  for( ib=src.begin(); ib!=eb; ++ib )
57  {
58  // find timestep
59  t = ib->first;
60  if( t < m->getSizeT() )
61  {
62  const BucketMap<Void>::Bucket & bk = ib->second;
63  BucketMap<Void>::Bucket & bkout = (*out)[ ib->first ];
64 
65  if( insideval )
66  {
67  for( i=bk.begin(), e=bk.end(); i!=e; ++i )
68  {
69  const Point3d & pos = i->first;
70  if( m->at( pos[0], pos[1], pos[2], t ) == val )
71  bkout[ i->first ] = Void();
72  }
73  }
74  else
75  {
76  for( i=bk.begin(), e=bk.end(); i!=e; ++i )
77  {
78  const Point3d & pos = i->first;
79  if( m->at( pos[0], pos[1], pos[2], t ) != val )
80  bkout[ i->first ] = Void();
81  }
82  }
83  }
84  }
85  return out;
86  }
87 
88 }
89 
90 #endif
void setSizeXYZT(float sizex, float sizey, float sizez, float sizet)
sets X,Y,Z and T resolutions of the data
Definition: bucketMap.h:327
const aims::PythonHeader & header() const
Definition: bucketMap.h:155
void setHeader(const aims::PythonHeader &hdr)
Definition: bucketMap.h:157
virtual bool getProperty(const std::string &, Object &) const
The class for EcatSino data write operation.
Definition: borderfiller.h:13
BucketMap< Void > * maskWithVolume(const BucketMap< Void > &src, const carto::rc_ptr< carto::Volume< T > > m, const T &val=0, bool insideval=false)
mask src object with m, avoiding value val in m if insideval is true, keeping only val otherwise
Definition: mask_d.h:42