计算机工程与应用2018，Vol.54Issue(12)：187-191,197,6.DOI:10.3778/j.issn.1002-8331.1701-0391
基于自适应形状上下文特征的实时杆号识别
Real-time recognition of pole number based on adaptive shape context feature
摘要
Abstract
In order to solve the problem of recognition difficulty for the absence of uniform standard in the rail power supply contact detection, a real-time pole number recognition algorithm based on adaptive shape context feature is proposed. The pole number is recognized and located by Shape Context matching algorithm with the known template characters and pole image, and then the correct pole number is obtained by the adaptive strategy algorithm. The experimental results show that the number of poles with different shapes and sizes can be identified by less configuration with good engineering practice significance, and the accuracy is more than 95％.关键词
形状上下文特征/杆号识别/自适应Key words
shape context/pole number recognition/adaptive分类
信息技术与安全科学引用本文复制引用
杨梅,谭泽富,蔡黎..基于自适应形状上下文特征的实时杆号识别[J].计算机工程与应用,2018,54(12):187-191,197,6.基金项目
重庆市教委科学技术研究项目(No.KJ1501022) （No.KJ1501022）
重庆高校创新团队建设计划(No.CXTDX201601034). （No.CXTDX201601034）
