Fuzzy Edge Detection In Computed Tomography Through Particle Swarm Optimization
Type : Article de conférence
Auteur(s) : , , ,
Année : 2014
Domaine : Electronique
Conférence: META2014 : International Conference on Metaheuristics and Nature Inspired Computing Organized by the University of Lille, CNRS, INRIA
Lieu de la conférence:
Résumé en PDF :
Fulltext en PDF :
Mots clés : Computed tomography, Non destructive testing, Bayesian Inference, Fuzzy inference, Particle Swarm Optimization
Auteur(s) : , , ,
Année : 2014
Domaine : Electronique
Conférence: META2014 : International Conference on Metaheuristics and Nature Inspired Computing Organized by the University of Lille, CNRS, INRIA
Lieu de la conférence:
Résumé en PDF :
Fulltext en PDF :
Mots clés : Computed tomography, Non destructive testing, Bayesian Inference, Fuzzy inference, Particle Swarm Optimization
Résumé :
In this paper, we propose a new approach using particle swarm optimization (PSO) for image reconstructions, in which we use the fuzzy inference penalty instead of the Bayesian inference penalty, and particle swarm optimization instead of local method of optimization. We saw that the PSO algorithm just work on the behavior of the individual to reach the best result of the population.