上海交通大学学报（英文版） ›› 2012, Vol. 17 ›› Issue (3): 323-326.doi: 10.1007/s12204-012-1278-9

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Application of Image Morphology in Detecting and Extracting the Initial Welding Position

WEI Shan-chun (卫善春), WANG Jian (王健), LIN Tao (林涛), CHEN Shan-ben (陈善本)   

  1. (School of Materials Science and Engineering, Shanghai Jiaotong University, Shanghai 200240, China)
  • 出版日期:2012-06-30 发布日期:2012-11-15
  • 通讯作者: WEI Shan-chun (卫善春) E-mail: scwei@sjtu.edu.cn

Application of Image Morphology in Detecting and Extracting the Initial Welding Position

WEI Shan-chun (卫善春), WANG Jian (王健), LIN Tao (林涛), CHEN Shan-ben (陈善本)   

  1. (School of Materials Science and Engineering, Shanghai Jiaotong University, Shanghai 200240, China)
  • Online:2012-06-30 Published:2012-11-15
  • Contact: WEI Shan-chun (卫善春) E-mail: scwei@sjtu.edu.cn

摘要： A method of image morphology in detecting and extracting the initial welding position during the autonomous welding process is described. During the process, firstly visual sensing technology is used to capture the straight seam image, and secondly the image edges are detected by morphological corrosion edge detection algorithm, with which can retain the critical information while filter other interferences effectively at the same time. Then morphological processing algorithm is used to conduct the direction of filter by selecting the multidirectional linear structuring elements and finally get the initial weld position point coordinates with the Hough transform. The algorithm is simple, rapid, self-adaptability with high accuracy for interferences except long lines so as to accomplish the entire process of detecting the initial welding position. It can meet the practical demands of automatic guidance for robotic welding.

关键词: image morphology, structuring element, initial welding position, welding guidance

Abstract: A method of image morphology in detecting and extracting the initial welding position during the autonomous welding process is described. During the process, firstly visual sensing technology is used to capture the straight seam image, and secondly the image edges are detected by morphological corrosion edge detection algorithm, with which can retain the critical information while filter other interferences effectively at the same time. Then morphological processing algorithm is used to conduct the direction of filter by selecting the multidirectional linear structuring elements and finally get the initial weld position point coordinates with the Hough transform. The algorithm is simple, rapid, self-adaptability with high accuracy for interferences except long lines so as to accomplish the entire process of detecting the initial welding position. It can meet the practical demands of automatic guidance for robotic welding.

Key words: image morphology, structuring element, initial welding position, welding guidance

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