aimsalgo  5.1.2
Neuroimaging image processing
topoClassifier.h
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33 
34 
35 #ifndef AIMS_TOPOLOGY_TOPOCLASSIFIER_H
36 #define AIMS_TOPOLOGY_TOPOCLASSIFIER_H
37 
41 #include <aims/bucket/bucketMap.h>
43 
44 
45 template< typename T >
47 {
48 public:
49  class ResultRcType;
50  class ResultType;
51 
53  virtual ~TopologicalClassifier() { }
54 
55  ResultRcType doit( const T & );
56  ResultType & takeResult( ResultRcType & d ) { return d; }
57 };
58 
59 
60 template< typename T >
61 class TopologicalClassifier<carto::VolumeRef<T> >
62 {
63 public:
66 
68  virtual ~TopologicalClassifier() { }
69 
70  ResultRcType doit( const carto::VolumeRef< T >& );
71  ResultType & takeResult( ResultRcType & d ) { return d; }
72 };
73 
74 
75 template< typename T >
76 class TopologicalClassifier< aims::BucketMap<T> >
77 {
78 public:
81 
83  virtual ~TopologicalClassifier() { }
84 
85  ResultRcType doit( const aims::BucketMap< T >& );
86  ResultType & takeResult( ResultRcType & d ) { return *d; }
87 };
88 
89 
90 template< typename T > inline
92  const carto::VolumeRef< T >& d )
93 {
94  int x, y, z;
95  T label;
96 
97  int dx = d.getSizeX();
98  int dy = d.getSizeY();
99  int dz = d.getSizeZ();
100 
102  res.setVoxelSize( d.getVoxelSize() );
103 
106 
107  for ( z=0; z<dz; z++ )
108  for ( y=0; y<dy; y++ )
109  for ( x=0; x<dx; x++ )
110  if( ( label = d( x, y, z ) ) )
111  {
112  Point3d pt( x, y, z );
113  topo.computeLocalCCNumbers( pt, (int)label );
114  res( x, y, z ) = (short)topoMean.classification( topo.Cstar(),
115  topo.Cbar() );
116  }
117 
118  return res;
119 }
120 
121 
122 template< typename T > inline
125  const aims::BucketMap< T >& d )
126 {
127  typename aims::BucketMap<T>::const_iterator ibm, ebm = d.end();
129 
131  res->setSizeXYZT( d.sizeX(), d.sizeY(), d.sizeZ(), d.sizeT() );
132 
135  dc = conv( d );
136  TopologicalClassification< T > topo( *dc );
138 
139  for( ibm=d.begin(); ibm!=ebm; ++ibm )
140  {
141  aims::BucketMap<int16_t>::Bucket & bk = (*res)[ ibm->first ];
142  for( ib=ibm->second.begin(), eb=ibm->second.end(); ib!=eb; ++ib )
143  {
144  topo.computeLocalCCNumbers( ib->first, ib->second );
145  bk[ ib->first ] = (short)topoMean.classification( topo.Cstar(),
146  topo.Cbar() );
147  }
148  }
149  delete dc;
150 
152 }
153 
154 
155 template<> inline
158  const aims::BucketMap<Void>& d )
159 {
160  aims::BucketMap<Void>::const_iterator ibm, ebm = d.end();
162 
164  res->setSizeXYZT( d.sizeX(), d.sizeY(), d.sizeZ(), d.sizeT() );
165 
168  dc = conv( d );
171 
172  for( ibm=d.begin(); ibm!=ebm; ++ibm )
173  {
174  aims::BucketMap<int16_t>::Bucket & bk = (*res)[ ibm->first ];
175  for( ib=ibm->second.begin(), eb=ibm->second.end(); ib!=eb; ++ib )
176  {
177  topo.computeLocalCCNumbers( ib->first, 1 );
178  bk[ ib->first ] = (short)topoMean.classification( topo.Cstar(),
179  topo.Cbar() );
180  }
181  }
182  delete dc;
183 
185 }
186 
187 #endif
void computeLocalCCNumbers(const Point3d &, int)
static int classification(int, int)
carto::rc_ptr< aims::BucketMap< int16_t > > ResultRcType
ResultType & takeResult(ResultRcType &d)
ResultType & takeResult(ResultRcType &d)
virtual ~TopologicalClassifier()
ResultType & takeResult(ResultRcType &d)
ResultRcType doit(const T &)
float sizeZ() const
void setSizeXYZT(float sizex, float sizey, float sizez, float sizet)
std::map< Point3d, T, BucketMapLess > Bucket
float sizeT() const
float sizeY() const
float sizeX() const
std::map< int, Bucket >::const_iterator const_iterator
int getSizeZ() const
void setVoxelSize(float vx, float vy=1., float vz=1., float vt=1.)
std::vector< float > getVoxelSize() const
std::vector< int > getSize() const
int getSizeY() const
int getSizeX() const