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The Maximum Variance Between Clusters Method of Image Segmentation Based on Particle Swarm Optimization

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5 Author(s)
Jian-Ming Li ; Dept. of Comput. Sci., Dalian Univ. of Technol. ; Zhong-Xian Chi ; Li-Qiang Yu ; Feng Zhang
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This essay proposes a maximum variance between clusters method of image segmentation (OTSU) based on PSO. The method in this paper makes use of particle swarm algorithm and achieves a great acceleration to the traditional OTSU. On that basis, we also applied the parallelism technology in particle-swarm algorithm and find an optimal threshold, so we can segment images with this threshold. The result proves that we not only raised the speed highly but also achieved a great efficiency, due to the discrete global searching algorithm we adopted

Published in:

Machine Learning and Cybernetics, 2006 International Conference on

Date of Conference:

13-16 Aug. 2006

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