Title A Modified Particle Swarm Optimization Algorithm for Automatic Image Clustering Author-s Salima Ouadfel, Mohamed Batouche, and Abdelmalik Taleb-Ahmed Contact Info batouche@ksu.edu.sa

Title

A Modified Particle Swarm Optimization Algorithm for Automatic Image Clustering

Author
-
s

Salima Ouadfel, Mohamed Batouche, and Abdelmalik Taleb
-
Ahmed

Contact
Info

batouche@ksu.edu.sa

Department

Software
Engineering

Major


Citation

proceedings of the International Symposium on Modelling and Implementation of Complex
Systems, MISC’2010, pp. 49
-
57

Year of
Publication

2010

Publisher


Sponser


Type of
Publication

Conference

ISSN


URL/DOI

http://www.umc.edu.dz/vf/images/misc/session1B/8
-
1B
-
paper3
-
Salima
-
Ouadfel.pdf

Full Text
(Yes, No)

Yes

Key words

image clustering. Particle swarm optimization. Automatic

clustering.

Abstract

In this paper, we present a new automatic image clustering
algorithm based on a modified
version of particle swarm optimization algorithm. ACMPSO clustering algorithm can partition
image into compact and well separated clusters without any knowledge on the real

number of clusters. It uses a swarm of particles with

variable number of length, which evolve
dynamically using mutation operators. Experimental results on real images demonstrate that
the proposed algorithm is able to extract the correct number of clusters with denser and more
compactness clusters. The resu
lts demonstrate that ACMPSOoutperforms other optimization
algorithms.