A Method of Robotic Visual Tracking for a New Automatic Laser Welding Line
Yongliang Xie, Lei Zhang, Chuanyu Wu, Jianjun Yin
- 发表年份
- 2008
- 引用次数
- 2
摘要
An on-line visual tracking sensor system for the automation of laser welding processes in heavy industries is presented. A method of image process and features extraction for structured light image of laser welding has been developed. In order to set the range of interest, the Radon Transform is applied to determine the x and y coordinate in image coordinate system. For image de-noising, the median filtering and bi-level thresholding are used. Furthermore, the middle line of the laser stripe is extracted. Finally, a five step search method is carried out to examine the mid-point and gap width. A series of experiments show that the proposed method in this paper is effective, and its tracking detection precision is much better than traditional methods.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991