Research on Algorithm of PSO in Image Segmentation of Cement-based

被引：0
|
作者：
Liu, Wei [1 ]
Deng, Xiaojie [1 ]
Shi, Heng [1 ]
机构：
[1] Hubei Univ Technol, Sch Comp Sci, Wuhan, Hubei, Peoples R China
来源：
2016 7TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND BIG DATA (CCBD) | 2016年
关键词：
OTSU; PSO; segmentation; OPTIMIZATION;
D O I：
10.1109/CCBD.2016.74
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper selects OTSU segmentation method. In order to verify the superiority of Chaos Particle Swarm Optimization, before segmentation, use test function detects chaos particle swarm (PSO) algorithm accuracy and efficiency. Then OTSU method were optimized and contrasted by four kinds of optimization algorithms. In order to select the best image segmentation, it provides a scalable processing platform for future research.
引用
收藏
页码：380 / 384
页数：5
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