aimsalgo 6.0.0
Neuroimaging image processing
finiteElementSmoother_d.h
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33
34
35#ifndef AIMS_PRIMALSKETCH_FINITEELEMENTSMOOTHER_D_H
36#define AIMS_PRIMALSKETCH_FINITEELEMENTSMOOTHER_D_H
37
38#include <cstdlib>
40#include <aims/mesh/curv.h>
41#include <cartobase/type/converter.h>
42#include <stdlib.h>
43#include <math.h>
44#include <float.h>
45
46namespace aims {
47
48template<int D, typename T> Texture<T> FiniteElementSmoother<D,T>::doSmoothing(const Texture<T> & ima, int maxiter, bool verbose)
49{
50 Texture<T> textOut;
51 TimeTexture<T> textIn, textTmp1;
52 TimeTexture<float> textTmp2;
53 Texture<float> smooth, lapl;
54 float s;
55 unsigned i,n=ima.nItem();
56 int iter;
57 //float threshold=0.1;
58
60 textIn[0]=ima;
61
62 if (maxiter >= 0)
63 {
64 conv.convert(textIn, textTmp2);
65 smooth=textTmp2[0];
66 if (verbose) std::cout << "Starting smoothing in " << maxiter << " iterations" << std::endl;
67 for (iter=0; iter< maxiter; ++iter)
68 {
69 lapl = AimsMeshLaplacian(smooth, weightLapl);
70 //lapl = AimsMeshLaplacian(smooth, weightLapl, threshold);
71 //lapl = AimsMeshLaplacian(smooth, weightLapl, FLT_MAX);
72 for ( i=0; i<n; ++i)
73 {
74 s = smooth.item(i) + _dt * lapl.item(i);
75 smooth.item(i) = s;
76 }
77 }
78 if (verbose) std::cout << std::endl;
79
80 textTmp2[0]=smooth;
81
83 conv2.convert( textTmp2, textTmp1);
84
85 textOut=textTmp1[0];
86 return textOut;
87 }
88 else
89 {
90 std::cerr << "diffusionConvolution Smoother: must have tIn < tOut" << std::endl;
91 exit(EXIT_FAILURE);
92 }
93}
94
95
96}
97
98#endif
size_t nItem() const
const T & item(int n) const
Texture< T > doSmoothing(const Texture< T > &ima, int maxiter, bool verbose=true)
virtual void convert(const INP &in, OUTP &out) const
Texture< float > AimsMeshLaplacian(const Texture< float > &inittex, const std::map< unsigned, std::set< std::pair< unsigned, float > > > &lapl)