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

Type : Article de conférence
Auteur(s) :  A.M.T. Gouicem, M. Yahi, A. Taleb-Ahmed, R. Drai
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 :  (résumé en pdf)
Fulltext en PDF :  (.pdf)
Mots clés :  3 D Computed Tomography, Non destructive testing, Bayesian Inference, Fuzzy inference, Particle Swarm Optimization

Résumé : 

Engineers last year's works only on the 2D image data, to perceive defects 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 3 D computed tomography