Image processing and features extraction of molten pool for pipe welding

被引：0
|
作者：
Li, Yuan [1 ,2 ]
Wang, Qinglin [1 ]
Xu, De [2 ]
Tan, Min [2 ]
机构：
[1] Information Science and Technology Institute, Beijing Institute of Technology, Beijing 100030, China
[2] Key Laboratory of Complex Systems and Intelligence Sciences, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
来源：
Hanjie Xuebao/Transactions of the China Welding Institution | 2008年 / 29卷 / 08期
关键词：
Features extraction - Intensity distribution - Pipe welding - Pool image processing - Robust statistics - Seam tracking - Vibration amplitude - Welding groove;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
A pool imaging system is designed for pipe welding, which can capture clear images of molten pool in grooves and reduce the disturbances of arc light. Robust statistics method was adopted for pool images preprocessing, and the splash in images was inhibited. After segmentation and edge detection, intensity distribution of pool images and welding groove figures are selected as image features and extracted. Then the deviation of the pool and groove is detected, and the vibration amplitude and frequency of molten pool are calculated. Experiments of welding with image processing and features extraction are conducted to verify the effectiveness of the imaging system and the proposed method.
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页码：57 / 60
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