Title: Hybrid particle swarm optimisation algorithm for image segmentation

Authors: Jian-de Zhang; Jin-gui Lu; Hong-liang Li

Addresses: CAD Center, Nanjing University of Technology, Nanjing 210009, Jiangsu Province, China. ' CAD Center, Nanjing University of Technology, Nanjing 210009, Jiangsu Province, China. ' CAD Center, Nanjing University of Technology, Nanjing 210009, Jiangsu Province, China

Abstract: Hybrid particle swarm optimisation algorithm is applied to image segmentation problem to determine the threshold in this paper. Based on the analysis of basic particle swarm optimisation algorithm, a hybrid particle swarm optimisation algorithm which combines the traditional particle swarm algorithm and K-means cluster algorithm is introduced to segment images, and the detailed computer implementation procedure is given for image segmentation. Numerical experiments have been performed to evaluate the efficiency of hybrid algorithm for optimisation problem of image segmentation.

Keywords: particle swarm optimisation; hybrid PSO; image segmentation; threshold optimisation.

DOI: 10.1504/IJMIC.2011.043156

International Journal of Modelling, Identification and Control, 2011 Vol.14 No.4, pp.317 - 323

Published online: 21 Mar 2015 *

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