aimsalgo  5.0.5
Neuroimaging image processing
dericheSmoother_d.h
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33 
34 
35 #ifndef AIMS_PRIMALSKETCH_DERICHESMOOTHER_D_H
36 #define AIMS_PRIMALSKETCH_DERICHESMOOTHER_D_H
37 
39 #include <iostream>
40 
41 namespace aims
42 {
43 
45  const AimsData<T> & ima, int maxiter, bool /*verbose*/)
46  {
47 
48  if (maxiter >= 0)
49  {
50  if ((ima.sizeX()==ima.sizeY()) && (ima.sizeX()==ima.sizeZ()))
51  {
52  AimsData<T> ima2=ima.clone(); // this is to avoid problem caused by
53  // copy constructor that just makes a reference
54  float sigma=sqrt(maxiter*ima.sizeX()*ima.sizeX());
55  std::cout << "sigma=" << sigma << std::endl;
56  Gaussian3DSmoothing<T> gaussSmooth(sigma, sigma, sigma);
57  return gaussSmooth.doit(ima2);
58  }
59  else
60  {
61  std::cerr << "Anisotropic images not supported (yet) for scale-space applications..." << std::endl;
62  exit( EXIT_FAILURE );
63  }
64  }
65  else
66  {
67  std::cerr << "DericheRecursiveConvolution Smoother: must have tIn < tOut"
68  << std::endl;
69  exit( EXIT_FAILURE );
70  }
71  }
72 
73 }
74 
75 #endif
AimsData< T > doit(const AimsData< T > &)
Definition: g3dsmooth.h:75
float sizeZ() const
3D Deriche&#39;s recursive gaussian smoothing filter
Definition: g3dsmooth.h:47
float sizeX() const
AimsData< T > clone() const
float sizeY() const
AimsData< T > doSmoothing(const AimsData< T > &ima, int maxiter, bool verbose=false)