ggradient.h

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#ifndef AIMS_SIGNALFILTER_GGRADIENT_H
#define AIMS_SIGNALFILTER_GGRADIENT_H
 
#include <aims/utility/converter_volume.h>
#include <aims/signalfilter/gslices.h>
#include <aims/signalfilter/glines.h>
#include <aims/signalfilter/gcolumns.h>
 
 
template< class T >
class GaussianGradient
{
public:
 
  GaussianGradient( float sx=1.0f, float sy=1.0f, float sz=1.0f );
  virtual ~GaussianGradient() { }
 
  carto::VolumeRef< float >  doit( const carto::rc_ptr<carto::Volume<T> >& );
  AimsVector< carto::VolumeRef< float >, 3 > doitGradientVector(
    const carto::rc_ptr<carto::Volume< T > >& data ) ;
private:
  
  float sigx;
  float sigy;
  float sigz;
};
 
 
template< class T > inline
GaussianGradient< T >::GaussianGradient( float sx, float sy, float sz )
  : sigx( sx ), sigy( sy ), sigz( sz )
{
  ASSERT( sigx >= 0.1f && sigx <= 100.0f );
  ASSERT( sigy >= 0.1f && sigy <= 100.0f );
  ASSERT( sigz >= 0.1f && sigz <= 100.0f );
}
 
 
template< class T > inline carto::VolumeRef< float >
GaussianGradient< T >::doit( const carto::rc_ptr<carto::Volume< T > >& data )
{
  int x,y,z;
  std::vector<float> vs = data->getVoxelSize();
  float sx = sigx / vs[0];
  float sy = sigy / vs[1];
  float sz = sigz / vs[2];
 
  carto::Converter< carto::VolumeRef<T>, carto::VolumeRef<float> > conv;
  AimsVector< carto::VolumeRef< float >, 3 > res;
 
  carto::VolumeRef< float> imaF;
  imaF=carto::VolumeRef<float>( data->getSize() );
  conv.convert( data, imaF );
 
  for ( int i=0; i<3; i++ )
          res[i]=imaF.copy();
 
 
 
  carto::VolumeRef<float> grad;
  grad=carto::VolumeRef<float>( data->getSize() );
 
  GaussianSlices gsli;
  GaussianLines glin;
  GaussianColumns gcol;
 
  // d / dx
  glin.doit( res[ 0 ], GCoef( sx, GCoef::gradient ) );
  gcol.doit( res[ 0 ], GCoef( sy ) );  // because default is smoothing
  gsli.doit( res[ 0 ], GCoef( sz ) );
 
  // d / dy
  glin.doit( res[ 1 ], GCoef( sx ) );
  gcol.doit( res[ 1 ], GCoef( sy, GCoef::gradient ) );
  gsli.doit( res[ 1 ], GCoef( sz ) );
 
  // d / dz
  glin.doit( res[ 2 ], GCoef( sx ) );
  gcol.doit( res[ 2 ], GCoef( sy ) );
  gsli.doit( res[ 2 ], GCoef( sz, GCoef::gradient ) );
 
  for (z=0; z< data->getSizeZ(); z++)
        for (y=0; y< data->getSizeY(); y++)
                for(x=0; x< data->getSizeX(); x++)
                {
                        grad(x,y,z)=sqrt ( (res[0](x,y,z)*res[0](x,y,z))
                                                                        +       (res[1](x,y,z)*res[1](x,y,z))
                                                                        +       (res[2](x,y,z)*res[2](x,y,z)) );
                }
 
  return grad;
}
 
template< class T > inline AimsVector< carto::VolumeRef< float >, 3 >
GaussianGradient< T >::doitGradientVector(
  const carto::rc_ptr<carto::Volume< T > >& data )
{
  std::vector<float> vs = data->getVoxelSize();
  float sx = sigx / vs[0];
  float sy = sigy / vs[1];
  float sz = sigz / vs[2];
 
  carto::Converter< carto::VolumeRef<T>, carto::VolumeRef<float> > conv;
  AimsVector< carto::VolumeRef< float >, 3 > res;
 
  carto::VolumeRef< float> imaF;
  imaF=carto::VolumeRef<float>( data->getSize() );
  conv.convert( data, imaF );
 
  for ( int i=0; i<3; i++ )
          res[i]=imaF.copy();
 
 
 
  carto::VolumeRef<float> grad;
  grad=carto::VolumeRef<float>( data->getSize() );
 
  GaussianSlices gsli;
  GaussianLines glin;
  GaussianColumns gcol;
 
  // d / dx
  glin.doit( res[ 0 ], GCoef( sx, GCoef::gradient ) );
  gcol.doit( res[ 0 ], GCoef( sy ) );  // because default is smoothing
  gsli.doit( res[ 0 ], GCoef( sz ) );
 
  // d / dy
  glin.doit( res[ 1 ], GCoef( sx ) );
  gcol.doit( res[ 1 ], GCoef( sy, GCoef::gradient ) );
  gsli.doit( res[ 1 ], GCoef( sz ) );
 
  // d / dz
  glin.doit( res[ 2 ], GCoef( sx ) );
  gcol.doit( res[ 2 ], GCoef( sy ) );
  gsli.doit( res[ 2 ], GCoef( sz, GCoef::gradient ) );
 
  return res ;
}
#endif