薄片工业件特征在线视觉检测系统研究  

Research on Online Inspection System of Thin Sheet Pieces Based on Machine Vision

作　　者：王玉槐[1] 王琦晖[1] 张慧熙[1] 赵鑫权[1] 

机构地区：[1]杭州师范大学钱江学院,浙江杭州310012

出　　处：《机床与液压》2013年第7期97-100,共4页Machine Tool & Hydraulics

基　　金：国家自然科学青年基金资助项目(61103171);浙江省公益性技术应用研究计划项目(2011C31048);杭州师范大学钱江学院科学研究项目(2011QJJL09;2012QJXS14)

摘　　要：以定时器极片检测为背景,研究薄片工业件的尺寸和缺陷特征机器视觉自动检测技术,并开发了相应的在线实时视觉检测系统。利用最大类间方差法计算最佳区域分割阈值,实现了二值化。检测长度、角度及圆度等尺寸特征和双面铁锈等缺陷特征,完成了薄片件的视觉检测。以可编程控制器为核心,设计了不良品的剔除系统,实现了不良品自动分拣。The dimensional and defective features were detected automatically by using machine vision for the timer piece. The real-time online detection system was designed by applying image processing technology. The optimal threshold was calculated by OT- SU to the binarization. The vision detection was achieved by measuring length, angle and roundness and recognizing defection. The e- liminating system controlled by PLC was implemented to sort the defective pieces.

关 键 词：薄片工业件 机器视觉 特征检测 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]