[1]徐自越 李战明 李二超.OpenCV在焊缝实时检测与处理系统中的应用[J].计算机技术与发展,2012,(08):170-173.
　XU Zi-yue,LI Zhan-ming,LI Er-chao.Application of OpenCV on Real-time Detection and Processing System of Seam[J].,2012,(08):170-173.
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OpenCV在焊缝实时检测与处理系统中的应用()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2012年08期
页码:
170-173
栏目:
应用开发研究
出版日期:
1900-01-01

文章信息/Info

Title:
Application of OpenCV on Real-time Detection and Processing System of Seam
文章编号:
1673-629X（2012）08-0170-04
作者:
徐自越1 李战明1 李二超2
[1]兰州理工大学电气工程与信息工程学院[2]兰州理工大学甘肃省工业过程先进控制重点实验室
Author(s):
XU Zi-yue;  LI Zhan-ming;  LI Er-chao
[1]College of Electrical and Information Engineering, Lanzhou University of Technology[2]Key Laboratory of Gansu Advanced Control for Industrial Processes, Lanzhou University of Technology
关键词:
OpenCV; 焊缝; 机器视觉; 图像处理
Keywords:
OpenCV;  weld;  machine vision;  digital image processing
分类号:
TP39
文献标志码:
A
摘要:
机器视觉系统是集机械、光电、控制、计算机和数字图像处理等技术于一体的高度自动化系统，能够有效地提高产品的质量和产量，现已广泛应用于工业当中。随着科技的发展，对焊接的质量与效率的要求越来越大，为此有必要设计一套行之有效的，在焊接自动跟踪技术中能够在线检测焊缝并进行处理的焊缝实时检测与处理系统。文中在VC＋＋6．0开发环境中设计了一种采用Otsu自动选择阈值和Canny算子检测边缘，基于OpenCV的焊缝实时检测与处理算法，实验结果表明基于该算法的系统实时性高、效果好、检测正确快速
Abstract:
The machine vision system is a high automation system in the integration of the machinery,photoelectricity, control, computer and digital image processing,can effectively improve the product quality and production,and now is widely used in industry. With the development of technology ,need to design a system that can improve the welding quality and efficiency. For this,develop the real-time detection and processing system of the seam which is used for on-line detection and related image processing of welding automation tracking technology. In the CV＋＋ 6.0 development environment,design a kind of the real-time seam detection and processing algorithm based on OpenCV,adopting automatic value selection by Otsu and edge detection by Canny operator. Experimental results show that the algo- rithm has high real-time, good effect and correct and fast detection

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备注/Memo

备注/Memo:
国家自然科学基金(60964003）徐自越（1986-），男，安徽芜湖人，硕士研究生，研究方向为机器视觉与图像处理
更新日期/Last Update: 1900-01-01