首页 | 本学科首页   官方微博 | 高级检索  
     

基于OpenCV的工件尺寸与划痕检测算法研究
引用本文:陈洵凛,黎小巨,许梓烁,谢小鹏.基于OpenCV的工件尺寸与划痕检测算法研究[J].机床与液压,2020,48(8):109-111.
作者姓名:陈洵凛  黎小巨  许梓烁  谢小鹏
作者单位:东莞理工学院城市学院,广东东莞523419;东莞理工学院城市学院,广东东莞523419;东莞理工学院城市学院,广东东莞523419;东莞理工学院城市学院,广东东莞523419
基金项目:广东省重大科研青年创新人才项目(2017KQNCX256);东莞市社会科技发展项目(20185071511518);东莞理工学院城市学院重大科技培育基金项目(2018YZD001Z)
摘    要:针对制造业水平的不断发展对检测技术提出高精度、高速度、低误差的要求,提出一套工件尺寸与划痕检测算法。该算法基于OpenCV视觉库与工业相机,在适当的光源平台下运行,提取工件的轮廓尺寸和表面划痕,再利用相机标定参数求解出工件的实际尺寸。检测结果表明:提出的检测算法比传统的Hough变换直线检测算法检测误差小,划痕检测十分精确。

关 键 词:工件尺寸  划痕检测  视觉库  工业相机

Research on Workpiece Size and Scratch Detection Algorithm Based on OpenCV
CHEN Xunlin,LI Xiaoju,XU Zishuo,XIE Xiaopeng.Research on Workpiece Size and Scratch Detection Algorithm Based on OpenCV[J].Machine Tool & Hydraulics,2020,48(8):109-111.
Authors:CHEN Xunlin  LI Xiaoju  XU Zishuo  XIE Xiaopeng
Affiliation:(City College of Dongguan Institute of Technology,Dongguan Guangdong 523419,China)
Abstract:In view of the continuous development of manufacturing industry,high accuracy,high speed and low error are required for the detection technology.A detection algorithm for workpiece size and scratch in industrial manufacturing was presented.The algorithm was based on the combination of OpenCV vision library and industrial camera,and operated under the appropriate light source platform to extract the outline size of the workpiece and surface scratches.Then camera calibration parameters were used to solve the actual size of the workpiece.The detection results show that the proposed detection algorithm has a smaller error than the traditional Hough transform detection algorithm,and the scratch detection is very accurate.
Keywords:Workpiece size  Scratch detection  Visual library  Industrial cameras
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《机床与液压》浏览原始摘要信息
点击此处可从《机床与液压》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号