华南理工大学学报(自然科学版) ›› 2014, Vol. 42 ›› Issue (3): 78-83.doi: 10.3969/j.issn.1000-565X.2014.03.013

• 机械工程 • 上一篇    下一篇

用于波纹板角焊缝跟踪的变步长角点检测算法

石永华 王晓佳 李学瑞   

  1. 华南理工大学 机械与汽车工程学院,广东 广州 510640
  • 收稿日期:2013-11-14 修回日期:2013-12-31 出版日期:2014-03-25 发布日期:2014-02-19
  • 通信作者: 石永华(1973-),男,博士,教授,主要从事焊接及其自动化研究. E-mail:yhuashi@scut.edu.cn
  • 作者简介:石永华(1973-),男,博士,教授,主要从事焊接及其自动化研究.
  • 基金资助:

    国家自然科学基金资助项目(51374111, 51175185);海军装备部科研项目

Variable- Step Corner Detection Algorithm for Fillet Weld Tracking of Corrugated Plate

Shi Yong- hua Wang Xiao- jia Li Xue- rui   

  1. School of Mechanical and Automotive Engineering,South China University of Technology,Guangzhou 510640,Guangdong,China
  • Received:2013-11-14 Revised:2013-12-31 Online:2014-03-25 Published:2014-02-19
  • Contact: 石永华(1973-),男,博士,教授,主要从事焊接及其自动化研究. E-mail:yhuashi@scut.edu.cn
  • About author:石永华(1973-),男,博士,教授,主要从事焊接及其自动化研究.
  • Supported by:

    国家自然科学基金资助项目(51374111, 51175185);海军装备部科研项目

摘要: 针对波纹板 - 箱梁 T 型接头角焊缝位置的激光双目视觉检测,提出了一种变步长角点检测算法,即先建立波纹板角焊缝位置的双目视觉测量模型,根据激光条纹投射在角焊缝上的成像特征进行图像预处理,然后设计变步长搜索算法先找到激光条纹上的近角点,于近角点两侧选取激光条纹上的像素点构造两条直线,由直线的交点来确定角点.试验结果表明,用该方法测量角焊缝位置坐标,可靠性高,测量误差范围在 0. 1 mm 以内,角焊缝轨迹三维重建误差在 1mm 以内,测量精度优于传统算法

关键词: 焊缝跟踪, 双目视觉, 图像处理, 角点检测

Abstract:

Proposed in this paper is a variable- step corner detection algorithm for the laser binocular vision detec-tion of fillet weld position of the T- type joint between corrugated plate and box girder.In this algorithm,a binocularvision detection model of fillet weld position is established and an image preprocessing is performed for the laserstripe images according to the imaging characteristics of the stripe projected on the fillet weld.Then,a variable-step searching algorithm is developed to find the near- corner point in the laser stripe,and several pixels at bothsides of the near- corner point are selected to construct two straight lines.Finally,the corner point of the fillet weldis determined according to the intersection point of the two constructed lines.Experimental results show that theproposed algorithm is superior to those traditional ones due to its high reliability,low detection error (less than0. 1mm) and low 3D trajectory reconstruction error of fillet weld (less than 1mm).

Key words: weld seam tracking, binocular vision, image processing, corner detection

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