Automatic Segmentation of Fuzzy Laser Lines with Sub-Pixel Accuracy from the Uneven Background during Robotic Arc Welding

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	Automatic Segmentation of Fuzzy Laser Lines with Sub-Pixel Accuracy from the Uneven Background during Robotic Arc Welding
	Wang ZZ(王振洲)
	2016
会议名称	2016 7th International Conference on Intelligent Systems, Modelling and Simulation
会议日期	January 25-27, 2016
会议地点	Bangkok, Thailand
关键词	Segmentation Gradient detection Measurement Vision system Sub-pixel accuracy
页码	157-162
通讯作者	王振洲
中文摘要	Robust and automatic segmentation of the reflected laser lines from the arc light modified background is prerequisite for the subsequent measurement of the weld pool shape which is of great importance for monitoring robotic arc welding. In this paper, the two dimensional intensity distribution caused by the arc light in the captured image is modeled. Based on the model, we propose an efficient and effective method that comprises three parts: (1), spline enhancement to achieve sub-pixel accuracy; (2), a gradient detection filter to eliminate the uneven background; (3), an effective threshold selection method. Experimental results verified that the proposed method is significantly superior to other state of art methods in segmentation accuracy.
收录类别	EI
产权排序	1
会议录	2016 7th International Conference on Intelligent Systems, Modelling and Simulation
会议录出版者	IEEE Computer Society
会议录出版地	Washington, DC
语种	英语
ISSN号	2166-0670
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/19538]
专题	沈阳自动化研究所_机器人学研究室
推荐引用方式 GB/T 7714	Wang ZZ. Automatic Segmentation of Fuzzy Laser Lines with Sub-Pixel Accuracy from the Uneven Background during Robotic Arc Welding[C]. 见:2016 7th International Conference on Intelligent Systems, Modelling and Simulation. Bangkok, Thailand. January 25-27, 2016.