基于线阵相机的扁管表面划痕在线检测实验平台设计  

Design of online detection experimental platform for flat tube surface scratches based on linear array camera

作　　者：周乔君 项伟楷 李新良 陈耀 曹松晓 ZHOU Qiaojun;XIANG Weikai;LI Xinliang;CHEN Yao;CAO Songxiao(Engineering Training Centre,China Jiliang University,Hangzhou 310018,China;College of Metrology and Testing Engineering,China Jiliang University,Hangzhou 310018,China)

机构地区：[1]中国计量大学工程训练中心,浙江杭州310018 [2]中国计量大学计量测试工程学院,浙江杭州310018

出　　处：《实验技术与管理》2023年第8期163-169,共7页Experimental Technology and Management

基　　金：教育部产学合作协同育人项目(221004992093933);2021—2022年度浙江省产学合作协同育人项目(浙发改社会[2022]318号);国家级大学生创新创业训练计划资助项目(202210356047)。

摘　　要：大尺寸运动目标细小缺陷检测是计算机视觉检测领域的难点。该文设计了一种基于线阵相机的扁管表面划痕在线检测实验平台,使用三次Bezier曲线拟合的划痕检测算法对运动状态下的扁管进行检测。实验结果表明:该方法可以在复杂、不确定的背景噪声下检测划痕,满足工业现场的自动化检测需求。此外,实验平台集成了运动控制、图像处理等技术,可以作为一个综合性的计算机视觉实验平台,帮助学生深入学习视觉检测原理,提高创新实践能力。Detection of fine defects on large-sized moving targets is a difficult area in the field of computer vision inspection.This paper designs an experimental platform for online detection of scratches on the surface of flat tubes based on a line array camera,and uses a scratch detection algorithm with cubic Bezier curve fitting to detect flat tubes in motion.The experimental results show that the method can detect scratches under complex and uncertain background noise and meet the demand of automated inspection in industrial sites.In addition,the experimental platform integrates motion control,image processing and other technologies,which can be used as a comprehensive computer vision experimental platform to help students learn the principles of vision detection in depth and improve their innovative practical skills.

关 键 词：线阵相机 扁管 划痕检测 三次BEZIER曲线 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]