Ant Colony Algorithm's Application of Textile Monitoring Image Recognition

被引：1

作者：

Fu, Yanglie ^{[1
]}

Chen, Shuqian ^{[1
]}

Zhang, Lihong ^{[1
]}

机构：

[1] Huaihai Inst Technol, Lianyungang, Jiangsu, Peoples R China

来源：

MECHATRONICS AND MATERIALS PROCESSING I, PTS 1-3 | 2011年 / 328-330卷

关键词：

Glass fiber textile; Weft detection; neural network; image recognition; improved algorithm;

D O I：

10.4028/www.scientific.net/AMR.328-330.1701

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We can use video surveillance method to detection the weft in Glass fiber textile machine, avoids glass fiber well bristling by contact weft detection sensor, Glass fiber dust damages to human health. Using Ant Colony algorithm of intelligent search, global optimization, robust, positive feedback, distributed computing, easy combination with other methods and other characteristics, resolve image segmentation, extraction monitor weft system in regional conditions, then use the default rule-based artificial intelligence reasoning in the region separately.

引用

页码：1701 / 1704

页数：4

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