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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
computer science
Particle swarm optimization method for image clustering
International Journal of Pattern Recognition and Artificial Intelligence, Volume 19, No. 3, Year 2005
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Description
An image clustering method that is based on the particle swarm optimizer (PSO) is developed in this paper. The algorithm finds the centroids of a user specified number of clusters, where each cluster groups together with similar image primitives. To illustrate its wide applicability, the proposed image classifier has been applied to synthetic, MRI and satellite images. Experimental results show that the PSO image classifier performs better than state-of-the-art image classifiers (namely, K-means, Fuzzy C-means. K-Harmonic means and Genetic Algorithms) in all measured criteria. The influence of different values of PSO control parameters on performance is also illustrated. © World Scientific Publishing Company.
Authors & Co-Authors
Omran, Mahamed G.H.
South Africa, Pretoria
University of Pretoria
Engelbrecht, Andries Petrus
South Africa, Pretoria
University of Pretoria
Salman, Ayed A.
Kuwait, Kuwait City
Kuwait University
Statistics
Citations: 299
Authors: 3
Affiliations: 2
Identifiers
Doi:
10.1142/S0218001405004083
ISSN:
02180014
Research Areas
Genetics And Genomics