A Massive Multi Agents System for Brain MRI Segmentation - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2005

A Massive Multi Agents System for Brain MRI Segmentation

Radia Haroun
  • Fonction : Auteur
Fatima Boumghar
  • Fonction : Auteur
Latifa Hamami
  • Fonction : Auteur

Résumé

There are several image segmentation algorithms; each one has its advantages and its limits. In this work, we aim to use the advantages of two algorithms, in a massive multi-agents environment. We use the FCM (Fuzzy C-Mean) algorithm, to manage uncertainty and imprecision and the Region Growing algorithm, to act locally on the image. The massive multi-agents paradigm is then introduced into the region growing process in order to improve the segmentation quality. However in some cases some defaults appear in the segmented image, we propose then the use of a double predicate for the Region Growing algorithm, through a massive cooperative process, in order to improve the quality of the segmented image. Massiveness of the system allows for a better quality analysis.

Dates et versions

hal-01596105 , version 1 (27-09-2017)

Identifiants

Citer

Radia Haroun, Fatima Boumghar, Salima Hassas, Latifa Hamami. A Massive Multi Agents System for Brain MRI Segmentation. International Workshop on Massively Multiagent Systems, Dec 2004, Kyoto, Japan. pp.174-186, ⟨10.1007/11512073_13⟩. ⟨hal-01596105⟩
69 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More