Please use this identifier to cite or link to this item:
https://dspace.univ-ouargla.dz/jspui/handle/123456789/20900
Title: | Modified Particle Swarm Optimization Approach applied to MRI Brain Image Clustering |
Authors: | Hamissi, Sabra Nouaouria, Nabila Souici-Meslati, Labiba |
Keywords: | Particle Swarm Optimization Image Clustering Confinement Wind dispersion |
Issue Date: | 5-Mar-2019 |
Publisher: | Université Kasdi Merbah Ouargla |
Series/Report no.: | 2019; |
Abstract: | his paper proposes a Particle Swarm Optimization Algorithm for Image Clustering, with modified updating mechanisms for particle position. Confinement, wind dispersion and their combination are introduced, compared against standard PSO based clustering and applied on a set of gray-level MRI Brain images. Experimental results show that the PSO-based image clustering with modified updating position performs better than the standard PSO by engendering more compact and well separated clusters. |
Description: | Le 2eme Conference Internationale sur intelligence Artificielle et les Technologies Information ICAIIT 2019 |
URI: | http://dspace.univ-ouargla.dz/jspui/handle/123456789/20900 |
Appears in Collections: | 2. Faculté des nouvelles technologies de l’information et de la communication |
Files in This Item:
File | Description | Size | Format | |
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Sabra Hamissi.pdf | 855,83 kB | Adobe PDF | View/Open |
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