Particle Swarm Optimization Of Fuzzy Penalty For 3D Image Reconstruction In X-Ray Tomography

Type : Article de conférence
Auteur(s) :  A.M.T.Gouicem, M.Yahi, A.Taleb-Ahmed, R.Drai
Année :  2014
Domaine : Electronique
Conférence: The 4th International Conference on Welding, Non Destructive Testing and Materials and Alloys Industry (IC-WNDT-MI’14)
Lieu de la conférence:  Annaba, Algeria
Résumé en PDF :  (résumé en pdf)
Fulltext en PDF :  (.pdf)
Mots clés :  3D imaging, image reconstruction, fuzzy inferance, PSO optimization

Résumé : 

Engineers last year's works only on the 2D image data, to perceivedefects in the CT images. This was a handicap facing the challenge of determining the 3D exact defect form.This paper presents a method for 3D image reconstruction, the most interesting in non destructive testing (NDT) especially due to its application in industrial imaging.We propose a new combined approach using particle swarm optimization (PSO) and fuzzy inference penalty, which will be helpful to elevate the hard inverse problem of 3D computed tomography.