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Extract the aluminum alloy MIG welding pool edge with Otsu threshold selection based on the genetic algorithmic
Wu, Ming-Liang1; Wei, Li-Li1; Xiao, Lin-Hai1; Yu, Shu-Rong2; Huang, Jian-Kang2
2010
关键词Automation Edge detection Gas metal arc welding Genetic algorithms Inert gas welding Canny Operators Edge information Experimental system MIG welding Otsu Threshold selection Threshold-value Welding process
DOI10.1109/ICISE.2010.5689959
页码1173-1175
英文摘要It is one of the important methods to detect the image edge of the molten bath for gain the characteristic information including the maximum width of molten bath, the half length of the molten bath and the rear angle of the molten bath etc. It is one of the important methods to achieve automatic control for welding process that the visual sensing technology is used to gain the pictorial information of molten bath and make processing. This paper introduced the structure of experimental system and algorithm, uses the Otsu to realize the detection of aluminum alloy MIG welding molten bath edge, and compared with the Sobel operator and the Canny operator molten bath edge detection result, the experimental result indicated that it is completely feasible using genetic algorithmic to realize the detection of welding pool edge based on threshold value selection, and the molten bath edge information obtained is smooth, continual, without the break point and the noise. © 2010 IEEE.
会议录2nd International Conference on Information Science and Engineering, ICISE2010 - Proceedings
会议录出版者IEEE Computer Society
语种英语
内容类型会议论文
源URL[http://ir.lut.edu.cn/handle/2XXMBERH/116126]  
专题机电工程学院
材料科学与工程学院
作者单位1.Key Laboratory of Digital Manufacturing Technology and Application, Ministry of Education, Lanzhou University of Technology, Lanzhou, Gansu Province,730050, China;
2.State Key Laboratory of Gansu Advanced Non-ferrous Materials, Lanzhou University of Technology, Gansu Province, 730050, China
推荐引用方式
GB/T 7714
Wu, Ming-Liang,Wei, Li-Li,Xiao, Lin-Hai,et al. Extract the aluminum alloy MIG welding pool edge with Otsu threshold selection based on the genetic algorithmic[C]. 见:.
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