Ant Colony Algorithms Application of Textile Monitoring Image Recognition

摘要：

We can use video surveillance method to detection the weft in Glass fiber textile machine, avoids glass fiber weft 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.

关键词： Glass fiber textile Weft detection neural network image recognition improved algorithm

作者: Yanglie FU Shuqian CHEN Lihong ZHANG

作者单位: Huaihai Institute of Technology, Lianyungang, Jiangsu,China

会议类型: 国际会议

会议名称: 2011 International Conference on Mechatronics and Materials Processing(2011年机电一体化与材料加工国际会议 ICMMP)

会议地点: 广州

会议语种:英文

页码: 1701-1704

在线出版日期: 2011-11-18（万方平台首次上网日期，不代表论文的发表时间）