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基于斜率单调区间跨度分割的焊缝轮廓特征点的提取 被引量:2

Feature point extraction of weld profiles based on span segmentation of slope monotone intervals
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摘要 焊缝轮廓特征点是厚板机器人焊接中指导焊枪实施焊道规划和焊缝跟踪的依据。以提取的T形接头焊缝轮廓为研究对象,提出了一种利用斜率单调区间跨度Otsu分割来提取焊缝轮廓特征点的算法。该算法首先利用有效的斜率计算方法求取预处理后的焊缝轮廓的斜率,然后对斜率进行平滑处理并确定斜率单调区间,从中筛选出斜率跨度超过平均跨度的区间;将这些区间的跨度再进行Otsu分割以确定跨度超过获得的阈值区间,获得最终区间的中间位置即为焊缝轮廓的特征点。该算法无需设定任何参数,可用于典型的焊缝轮廓特征点的提取。 Feature points of the weld profile are the guide for bead planning and seam tracking in robotic welding of thick steel plates.In this paper,the extracted weld profile of T-joints was studied,and a method to extract feature points of the weld profile of T-joints was proposed based on span segmentation of slope monotone intervals using Otsu.Firstly,slopes are calculated effectively using the preprocessed weld profile data,and followed by smooth processing.Then these intervals whose slope spans are bigger than the average one are selected.In order to determine the final slope monotone intervals from the selected ones,the slope span values are segmented by Otsu,the centers of the intervals can be deemed as the feature points of the weld profile.The advantages of the method are that it can run well without any empirical parameters and can be applied to the typical welded joints.
作者 余亮 唐华 王芳 卢桂琴 何银水 Yu Liang;Tang Hua;Wang Fang;Lu Guiqin;He Yinshui(Jiangxi University of Technology, Nanchang 330098,China;School of Resources Environmental & Chemical Engineering, Nanchang University, Nanchang 330031, China)
出处 《焊接》 北大核心 2017年第10期44-47,共4页 Welding & Joining
关键词 特征点提取 机器人焊接 斜率跨度 焊缝轮廓 feature point extraction robotic welding slope span weld profile
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  • 1Li Y F, Chen S Y. Automatic recalibration of an active structured light vision system [ J ] . IEEE Transactions on Robotics and Automation, 2003, 19 (2) :259 - 268.
  • 2Wu J, Smith J S, Lucas J. Weld bead placement system for multi -pass welding [ J ]. IEEE Proceedings -Science, Measurement & Technology, 1996, 143(2): 85-90.
  • 3李慨.[D].天津:河北工业大学,2002.
  • 4陈贸华.[D].南昌:南昌大学,2002.
  • 5Rastislav Lukac.Adaptive color image filtering based on centerweighted vector directional filter.Multidimensional Systems and Signal Processing,2004,15(4):169 ~ 196.
  • 6Wu J,Smith J S,Lucas J. Weld bead placement system for multi-pass welding [ J ]. IEE Proceedings-Science Measurement andTechnology, 1996, 143(2) : 85 -90.
  • 7Kim J S, Son Y T,Cho H S. A robust method for vision-basedseam tracking in robotic arc welding[ C] // Proceedings of TenthInternational Symposium on Intelligent Control, 1995 : 363 -- 368.
  • 8Hyeong S M, Yong B K,Beattie R J. Multi sensor data fusion forimproving performance and reliability of fully automatic weldingsystem[j]. The International Journal of Advanced ManufacturingTechnology, 2006, 28(3 -4) : 286 -293.
  • 9Zhang Y M, Kovacevic R. Real-time sensing of sag geometry dur-ing GTA weldingf J]. Journal of Manufacturing Science and Engi-neering, 1997, 119(2) : 151 -160.
  • 10张广军,冷孝宇,吴林.弧焊机器人结构光视觉传感焊缝跟踪[J].焊接学报,2008,29(9):8-10. 被引量:10

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