• 首页
  • 期刊简介
  • 编委会
  • 投稿指南
  • 收录情况
  • 杂志订阅
  • 联系我们
引用本文:叶润东,姚佳岷,魏宇昕,林雪晴,陈志伟,张伟荣.一种齿轮瑕疵图像检测方法研究[J].软件工程,2020,23(8):1-4.【点击复制】
【打印本页】   【下载PDF全文】   【查看/发表评论】  【下载PDF阅读器】  
←前一篇|后一篇→ 过刊浏览
分享到: 微信 更多
一种齿轮瑕疵图像检测方法研究
叶润东,姚佳岷,魏宇昕,林雪晴,陈志伟,张伟荣
(广州大学,广东 广州 510006)
991139379@qq.com; Yaojia_kami@163.com; 584558109@qq.com; 997078856@qq.com; 1301912993@qq.com; 591330289@qq.com
摘 要: 运用基于OpenCV的机器视觉,研究检测齿轮瑕疵生产流水线,采用CCD工业相机获取实时图像,通过 基于OpenCV研发的算法,对齿轮进行灰度化、滤波、二值化、形态学运算等预处理后,剔除背景图像的影响,获得清 晰的齿轮轮廓图,然后对齿轮轮廓图进行筛选,检测齿轮的瑕疵,并且把有瑕疵齿轮位置传送给SCARA机械臂,机械 臂夹取瑕疵品。机器视觉算法与机械臂相结合,实现齿轮的自动检测。
关键词: OpenCV;机器视觉;齿轮瑕疵检测;图像处理;流水线生产
中图分类号: TP391.4    文献标识码: A
A Method of Gear Defect Image Detection
YE Rundong, YAO Jiamin, WEI Yuxin, LIN Xueqing, CHEN Zhiwei, ZHANG Weirong
( Guangzhou University, Guangzhou 510006, China )
991139379@qq.com; Yaojia_kami@163.com; 584558109@qq.com; 997078856@qq.com; 1301912993@qq.com; 591330289@qq.com
Abstract: This research studies the production line of detecting gear defects by using machine vision based on OpenCV. The real-time images are obtained by CCD (Charge-Coupled Device) industrial camera. After preprocessing the gear with grayscale, ltering, binarization and morphological operation based on OpenCV, the in uence of background image is eliminated, and the clear gear pro le is obtained. Then, the gear pro le is screened to detect the teeth, and the positions of the defective gears are transmitted to the SCARA (Selective Compliance Assembly Robot Arm) manipulator, which picks up the defective products. In this way, the automatic detection of gears is realized through combining machine vision algorithm and the manipulator.
Keywords: OpenCV; machine vision; gear defect detection; image processing; assembly line production


版权所有:软件工程杂志社
地址:辽宁省沈阳市浑南区新秀街2号 邮政编码:110179
电话:0411-84767887 传真:0411-84835089 Email:semagazine@neusoft.edu.cn
备案号:辽ICP备17007376号-1
技术支持:北京勤云科技发展有限公司

用微信扫一扫

用微信扫一扫