| 焊管纵缝实时焊缝跟踪的机器视觉方法 |
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| 引用本文： | 葛景国,饶德林,朱政强,陈立功. 焊管纵缝实时焊缝跟踪的机器视觉方法[J]. 焊接学报, 2003, 24(6): 77-80,88 |
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| 作者姓名： | 葛景国 饶德林 朱政强 陈立功 |
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| 作者单位： | 上海交通大学,材料科学与工程学院,焊接工程研究所,上海,200030 |
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| 摘 要： | 介绍了一个大直径不锈钢等离子弧焊管纵缝焊缝跟踪系统。该系统利用视觉传感器将熔池与接缝拍摄在一幅图像中，检测出接缝偏差然后驱动工件运动使接缝对准焊枪。提出了一种新颖的基于机器视觉的熔池区域图像处理算法。该算法以20帧／s的速度实时处理图像并提取出三个特征量用来计算接缝偏差。试验证明这种算法是有效的，并且能够满足系统的实时响应要求。
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| 关 键 词： | 焊管 纵缝 焊缝跟踪 机器视觉 图像处理 |
| 文章编号： | 0253-360X(2003)06-77-05 |
| 收稿时间： | 2003-03-03 |
A machine vision approach to welding tube longitudinal seam tracking in real time |
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| GE Jing-guo,RAO De-lin,ZHU Zheng-qiang and CHEN Li-gong. A machine vision approach to welding tube longitudinal seam tracking in real time[J]. Transactions of The China Welding Institution, 2003, 24(6): 77-80,88 |
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| Authors: | GE Jing-guo RAO De-lin ZHU Zheng-qiang CHEN Li-gong |
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| Affiliation: | Welding Engineering Institute, College of Materials Science and Engineering, Shanghai Jiaotong University, Shanghai 200030, China,Welding Engineering Institute, College of Materials Science and Engineering, Shanghai Jiaotong University, Shanghai 200030, China,Welding Engineering Institute, College of Materials Science and Engineering, Shanghai Jiaotong University, Shanghai 200030, China and Welding Engineering Institute, College of Materials Science and Engineering, Shanghai Jiaotong University, Shanghai 200030, China |
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| Abstract: | A PAW (plasma arc welding) longitudinal seam tracking system was introduced, which senses the molten pool and the seam in the same image by a vision sensor, then calculates the seam deviation and adjusts the work piece adaptively move to the seam position sensed by the vision sensor. A novel molten pool area image-processing algorithm based on machine vision was described. The algorithm processes each image at the speed of 20 frames per second in real-time to extract three feature variables then which are used to calculate the seam deviation. It is proved experimentally that the algorithm is fast and effective which can satisfy the requirements of the system's real-time response ability. |
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| Keywords: | seam tracking image processing algorithm machine vision |
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