Fuzzy Inference for Image Reconstruction from Projections In X-Ray Tomography
Type : Article de conférence
Auteur(s) : , ,
Année : 2010
Domaine : Electronique
Conférence: The 2nd International Conference on welding, nondestructive testing and the industry of materials and alloys (ICWNDT-MI’10)
Lieu de la conférence: Oran, Algeria
Résumé en PDF :
Fulltext en PDF :
Mots clés : Analytic estimation, Bayesian inference and estimation, Fuzzy Inference., Computed tomography, Non destructive testing
Auteur(s) : , ,
Année : 2010
Domaine : Electronique
Conférence: The 2nd International Conference on welding, nondestructive testing and the industry of materials and alloys (ICWNDT-MI’10)
Lieu de la conférence: Oran, Algeria
Résumé en PDF :
Fulltext en PDF :
Mots clés : Analytic estimation, Bayesian inference and estimation, Fuzzy Inference., Computed tomography, Non destructive testing
Résumé :
The ill posed problem of image reconstruction was resolved by the Bayesian inference frame work which gives sense to the information known about the inverse problem and aims at smoothing artefact in image. But this method result in a new problem which is the edge penalization. It’s the reasons for what we opt to the fuzzy inference penalty function to preserve edge during the smoothing operation. The proposed algorithm FP-EM does not suffer from the same problem as that of MAP-EM algorithm, and it converges to a low noisy solution