基于机器视觉的电容器铝壳端面缺陷检测  

Capacitor aluminum shell end surface defect detection based on machine vision

作　　者：陈向伟[1] 肖冰[1] 高强[1] 

机构地区：[1]东北电力大学机械学院,吉林吉林132012

出　　处：《制造技术与机床》2013年第12期122-125,共4页Manufacturing Technology & Machine Tool

摘　　要：针对电解电容铝外壳在生产中,经常出现的端面凹坑、防爆槽不合格等缺陷,介绍了一套基于机器视觉的检测系统。阐述了在Visual C++平台下,把采集到的图像进行预处理、二值化、位置和角度校正以及差影等一系列运算,达到高效检测零件缺陷的目的。When an aluminum electrolysis capacitor is produced,some defects may occur such as end surface pits,unqualified explosion- proof line etc,and a set of detection system based on machine vision is introduced in this paper. On the platform of Visual C + +,a series of methods is presented including image pre- processing,image binary-conversion,position and angularity correction,difference image method etc. Experiments prove that this system is safe and reliable.

关 键 词：电解电容 端面缺陷 机器视觉 二值化 位置和角度校正 差影技术 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]