aimsalgo 6.0.0
Neuroimaging image processing
coupledSmoother.h
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33
34
35// REM about scale (t) and variance (s):
36// When using a Gaussian filtering we use the following convention:
37// t=s^2.
38// It corresponds to the heat equation: dI/dt=0.5*Laplacian(I)
39
40#ifndef AIMS_PRIMALSKETCH_COUPLEDSMOOTHER_H
41#define AIMS_PRIMALSKETCH_COUPLEDSMOOTHER_H
42
44
45namespace aims {
46
47 template<typename Geom, typename Text> class CoupledSmoother
48 {
49
50 protected:
51
52 public:
53
55
56 virtual std::pair<Text, Text> doSmoothing(const std::pair<Text, Text > & ima,
57 const std::pair<Text, Text > & constraint,
58 int maxiter, bool verbose=false) = 0;
59
60 virtual float dt() {return 0.0;} //smooooth operatooor... // virtuel pur
61 virtual bool optimal() {return false;} // optimal smoothing method:
62 // 0 -> from original image (ex: convolution)
63 // 1 -> from previous scale (ex: diffusion)
64 };
65
66}
67#endif
virtual std::pair< Text, Text > doSmoothing(const std::pair< Text, Text > &ima, const std::pair< Text, Text > &constraint, int maxiter, bool verbose=false)=0