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The maximum variance between clusters method of image segmentation based on particle swarm optimization

Release Time:2019-03-12  Hits:

Indexed by: Conference Paper

Date of Publication: 2006-08-13

Included Journals: Scopus、CPCI-S、EI

Volume: 2006

Page Number: 3765-+

Key Words: image segmentation; PSO; OTSU

Abstract: 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 algorism and achieves a great acceleration to the traditional OTSU. On that basis, we also applied the parallelism technology in particle-swarm algorism and rind 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 algorism we adopted.

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