Image Segmentation to HSI Model Based on Improved Particle Swarm Optimization

文献类型： 外文期刊

第一作者： Zhao, Bo

作者： Zhao, Bo;Mao, Wenhua;Zhang, Xiaochao;Chen, Yajun

作者机构：

关键词： Image segmentation;HIS model;PSO

期刊名称：EMERGING INTELLIGENT COMPUTING TECHNOLOGY AND APPLICATIONS: WITH ASPECTS OF ARTIFICIAL INTELLIGENCE （ 影响因子：0.302； ）

ISSN： 0302-9743

年卷期： 2009 年 5755 卷

页码：

收录情况： SCI

摘要： According to the characteristics of the particle swarm optimization, a method for the image segmentation to HSI model based on the improved particle swarm optimization was proposed in this paper. Firstly, the basic principle of the algorithm was introduced. Secondly, the characteristics on the image segmentation were analyzed. Finally, the image segmentation method based on the improved PSO was proposed, which can effectively overcome shortages which are the slow rate of the particle swarm optimization and the poor segmentation quality by using other algorithms. Experimental results proved that the improved algorithm was an effective method for the image segmentation in the practical application, which could segment the object accurately.

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