[1]杨杰,卢盛林,赵晓芳.机器视觉在钢化玻璃缺陷检测中的应用研究[J].计算机技术与发展,2013,(03):211-214.
 YANG Jie,LU Sheng-lin,ZHAO Xiao-fang.Application and Research of Machine Vision in Tempered Glass Defect Inspection[J].,2013,(03):211-214.
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机器视觉在钢化玻璃缺陷检测中的应用研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2013年03期
页码:
211-214
栏目:
应用开发研究
出版日期:
1900-01-01

文章信息/Info

Title:
Application and Research of Machine Vision in Tempered Glass Defect Inspection
文章编号:
1673-629X(2013)03-0211-04
作者:
杨杰1卢盛林2赵晓芳1
[1]东莞理工学院 电子工程学院;[2]东莞理工学院 机械工程学院
Author(s):
YANG JieLU Sheng-linZHAO Xiao-fang
关键词:
钢化玻璃自爆机器视觉缺陷检测
Keywords:
tempered glassself-brokenmachine visiondefect detection
文献标志码:
A
摘要:
在总结引发钢化玻璃产生自爆的原因的基础上,针对有缺陷玻璃和无缺陷玻璃的光学特性差异性和人工检测缺陷玻璃的局限性等问题,提出采用机器视觉技术对钢化玻璃的缺陷进行检测.首先分析了钢化玻璃缺陷检测的光学基本原理,然后给出了缺陷检测系统的基本结构设计,最后探讨了针对钢化玻璃自爆的机器视觉检测系统的技术要点.试验结果表明,利用机器视觉技术能够快速、可靠、准确地检测出含有缺陷的钢化玻璃,从而避免其在使用中出现自爆
Abstract:
Based on the study of several facts that may cause self-broken of tempered glass,a machine vision inspection technology is a-dopted to detect the defects of the tempered glass for the limitations of manual inspection of defects in glass and the optical characteristic differences of defect glass and defect-free glass. First analyze the basic optical principles of the tempered glass defect detection,and then give the basic structure design of the defect detection system,finally the technical points of the machine vision inspection system in view of the self-broken of tempered glass are also mentioned. The test results show that the use of machine vision technology can detect the de-fects rapidly,reliably and accurately,avoiding the self-broken in using
更新日期/Last Update: 1900-01-01