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Vol. 160, Issue 12, December 2013, pp. 19-24




An Edge Extraction Algorithm for Weld Pool Based on Component Tree
1 Dafeng CHEN, 2 Zuojin HU, 1 Yifei CHEN, 3 Yitong LI

1 School of Information Science, Nanjing Audit University, Nanjing 211815, China 2 School of Information Science, Nanjing Technical College of Special Education, Nanjing 210038, China 3 College of Computer Science and Software, Tianjin Polytechnic University, Tianjin 300000, China
E-mail: windking@nau.edu.cn, yifeichen@nau.edu.cn, 3154928@qq.com, ytli800@sina.com


Received: 15 September 2013   /Accepted: 25 October 2013   /Published: 30 December 2013

Digital Sensors and Sensor Sysstems


Abstract: In order to realize the automation and intelligence of welding process, the visual sensor and image processing technology of weld pool edge feature has become one of the key points. During the course of gas metal arc welding (GMAW), since this kind of welding requires a larger current, it makes the arc very strong and products so many droplets transfer and spatter interference. Therefore it is so difficult to extract the edge of welding pool. A new edge extraction algorithm based on component tree is proposed in the paper. It can realize the image segmentation adaptively using local features, retain the useful edge effectively and remove the false edge and noise as well. The experiments show that this algorithm can get more accurate edge information.


Keywords: Gas Metal Arc Welding, Pool Image, Edge Extraction, Component Tree.


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