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Edge detection of molten pool and weld line for CO2 welding based on B-spline wavelet

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【作者】 薛家祥贾林李海宝张丽玲

【Author】 Xue Jiaxiang, Jia Lin, Li Haibao and Zhang Liling, College of Mechanical Engineering, South China University of Technology, Guangzhou, 510640.

【机构】 College of Mechanical EngineeringSouth China University of TechnologyGuangzhou510640510640

【Abstract】 Due to the disturbances of spatters, dusts and strong arc light, it is difficult to detect the molten pool edge and the weld line location in CO2 welding processes. The median filtering and self-multiplication was employed to preprocess the image of the CO2 welding in order to detect effectively the edge of molten pool and the location of weld line. The B-spline wavelet algorithm has been investigated, the influence of different scales and thresholds on the results of the edge detection have been compared and analyzed. The experimental results show that better performance to extract the edge of the molten pool and the location of weld line can be obtained by using the B-spline wavelet transform. The proposed edge detection approach can be further applied to the control of molten depth and the seam tracking.

【基金】 ThisworkwassupportedbyNatureScienceFundofGuangdongProvince(ContractNo.000380).
  • 【文献出处】 China Welding ,中国焊接(英文版) , 编辑部邮箱 ,2004年02期
  • 【分类号】TG444
  • 【被引频次】3
  • 【下载频次】75
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