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| Titre: | An Efficient Particle Swarm Optimization for MRI Fuzzy Segmentation |
| Auteur(s): | SEMCHEDINE, Moussa
MOUSSAOUI, Abdelouahab |
| Mots-clés: | fuzzy c-means (FCM)
MRI segmentation
swarm intelligence
particle swarm optimization (PSO) |
| Date de publication: | 8-aoû-2018 |
| Collection/Numéro: | ROMANIAN JOURNAL OF INFORMATION SCIENCE AND TECHNOLOGY;Volume 20, Number 3, 2017, 271–285 |
| Résumé: | In this paper, we propose a novel initialization approach for the Fuzzy CMeans
Algorithm (FCM) based on Fuzzy Particle Swarm Optimization (FPSO) applied to
brain MR image segmentation. The proposed method, named FPSOFCM (Fuzzy Particle
Swarm Optimization for FCM) uses the FPSO algorithm to get the initial cluster centers
of FCM according to a new fitness function which combines fuzzy cluster validity indices.
The FPSOFCM was evaluated on several MR brain images corrupted by different levels of
noise and intensity non-uniformity. Experiment results show the proposed approach improves
segmentation results. |
| URI/URL: | http://dspace.univ-setif.dz:8888/jspui/handle/123456789/2532 |
| Collection(s) : | Articles
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