The maximum variance between clusters method of image segmentation based on particle swarm optimization
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论文类型：会议论文
发表时间：2006-08-13
收录刊物：Scopus、CPCI-S、EI
卷号：2006
页面范围：3765-+
关键字：image segmentation; PSO; OTSU
摘要：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.