aimsalgo  5.1.2
Neuroimaging image processing
g2dsmooth.h
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33 
34 
35 #ifndef AIMS_SIGNALFILTER_G2DSMOOTH_H
36 #define AIMS_SIGNALFILTER_G2DSMOOTH_H
37 
41 
42 
43 template< class T >
45 {
46 public:
47 
48  Gaussian2DSmoothing( float sx=1.0f, float sy=1.0f );
49  virtual ~Gaussian2DSmoothing() { }
50 
52 
53 private:
54 
55  float sigx;
56  float sigy;
57 };
58 
59 
60 template< class T > inline
62  : sigx( sx ), sigy( sy )
63 {
64  ASSERT( sigx >= 0.1f && sigx <= 100.0f );
65  ASSERT( sigy >= 0.1f && sigy <= 100.0f );
66 }
67 
68 
69 template< class T > inline
71  const carto::rc_ptr<carto::Volume< T > > & data )
72 {
73  float sx = sigx / data->getVoxelSize()[0];
74  float sy = sigy / data->getVoxelSize()[0];
75 
77  conv;
78  carto::VolumeRef< float > dataF( data->getSize() );
79  dataF.setVoxelSize(data->getVoxelSize());
80  conv.convert( data, dataF );
81 
82  GaussianLines glin;
83  glin.doit( dataF, GCoef( sx ) );
84 
85  GaussianColumns gcol;
86  gcol.doit( dataF, GCoef( sy ) );
87 
89  carto::VolumeRef<T> data3( data->getSize() );
90  conv2.convert( dataF, data3 );
91  return data3;
92 }
93 
94 #endif
#define ASSERT(EX)
Definition: gcoef.h:42
virtual ~Gaussian2DSmoothing()
Definition: g2dsmooth.h:49
Gaussian2DSmoothing(float sx=1.0f, float sy=1.0f)
Definition: g2dsmooth.h:61
carto::VolumeRef< T > doit(const carto::rc_ptr< carto::Volume< T > > &)
Definition: g2dsmooth.h:70
void doit(carto::rc_ptr< carto::Volume< float > > &)
void doit(carto::rc_ptr< carto::Volume< float > > &)
virtual void convert(const INP &in, OUTP &out) const
void setVoxelSize(float vx, float vy=1., float vz=1., float vt=1.)
std::vector< float > getVoxelSize() const