首页 | 本学科首页   官方微博 | 高级检索  
     

计算机视觉焊缝识别技术研究
引用本文:丁度坤,高向东,赵传敏. 计算机视觉焊缝识别技术研究[J]. 焊接技术, 2006, 35(6): 19-21
作者姓名:丁度坤  高向东  赵传敏
作者单位:广东工业大学,机电工程学院,广东,广州,510090;广东工业大学,机电工程学院,广东,广州,510090;广东工业大学,机电工程学院,广东,广州,510090
基金项目:国家自然科学基金 , 广东省自然科学基金
摘    要:对焊缝识别技术进行了深入研究,包括对焊缝图像的中值滤波以降低噪声干扰、对图像的最佳阈值化以获取焊缝信息以及对图像的数学形态学处理以消除焊缝周围孤立点的干扰.在此基础上,提取到较为清晰的焊缝图像,进而采用最小二乘法建立焊缝的轨迹方程,为焊接控制提供依据,提高焊缝跟踪精度及焊接质量.

关 键 词:计算机视觉  焊缝跟踪  图像处理
文章编号:1002-025X(2006)06-0019-03
收稿时间:2006-01-19
修稿时间:2006-01-19

Study on the weld detection technology based on computer vision
DING Du-kun,GAO Xiang-dong,ZHAO Chuan-min. Study on the weld detection technology based on computer vision[J]. Welding Technology, 2006, 35(6): 19-21
Authors:DING Du-kun  GAO Xiang-dong  ZHAO Chuan-min
Abstract:A deeply research on the weld detection technology has been carried in this paper, including the filtering process of the weld images in order to reduce the disturbance of noise, best threshold cutting of the images to get the information of the weld and the process of the weld images based on the morphology technology to clear up the disturbance of the insulated points. A clearer weld image may be extracted on this base. Moreover, the tracking equation of the weld using the least square algorithm has been built, which can supply a basis to the later weld controlling. And it can improve the precision of weld tracking and welding quality.
Keywords:computer vision   weld tracking   image processing
本文献已被 CNKI 维普 万方数据 等数据库收录!
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