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

Mohamed Tahar Ali Gouicem , Mostepha Yahi , Abdelmalik Taleb-Ahmed (1) , Redouane Drai

1 LAMIH - Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201

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 3D computed tomography.

Domaines: Automatique / Robotique

Mohamed Tahar Ali Gouicem, Mostepha Yahi, Abdelmalik Taleb-Ahmed, Redouane Drai. Particle Swarm Optimization Of Fuzzy Penalty For 3D Image Reconstruction In X-Ray Tomography. International Conference on Welding, Non Destructive Testing and Materials and Alloys Industry (IC-WNDT-MI’14), Nov 2014, Annaba, Algeria. ⟨hal-03418642⟩