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

Auteurs : A.M.T.Gouicem, M.Yahi, A.Taleb-Ahmed, R.Drai
Année : 2014
Domaine : Electronique
Type : Communication
Conférence: IC-WNDT-MI 2014
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.