测试技术学报2018，Vol.32Issue(2)：174-179,6.DOI:10.3969/j.issn.1671-7449.2018.02.015
基于机器视觉的线束连接器字符检测
Printed Characters Inspection for Wire Harness Connection Based on Machine Vision
摘要
Abstract
Considering the intelligent of printed characters inspection is not high for wire harness con-nection,a method based on machine vision was proposed.Firstly,the first-order derivative was used to obtain edge points of printed characters,and the edge points were fitted into a line to locate the position of characters,then,the angle and position of characters were compared.Secondly,the character was segmented,normalized,after that,a whole character image was selected as an input feature.Finally,a back-propagation neuron network was established and improved for the printed characters classification based on above feature.Experiments show that the printed characters inspection method based on ma-chine vision has high recognition accuracy and speed,of which the recognition accuracy is 9 9.1 % and the average consuming time is 95ms for single character.关键词
机器视觉/线束连接器/字符检测/神经网络Key words
machine vision/wire harness connection/character inspection/neuron network分类
信息技术与安全科学引用本文复制引用
吴晖辉,曾宪荣,赖燕君,吴福培..基于机器视觉的线束连接器字符检测[J].测试技术学报,2018,32(2):174-179,6.基金项目
国家自然科学基金资助项目(51305247) （51305247）
