Image processing of weld seam for Al alloy pulsed GTAW based on vision sensing
Authors
Yunxia Chen, Su Zhao, Xiaojing Wang
Corresponding Author
Yunxia Chen
Available Online August 2015.
- DOI
- 10.2991/icaemt-15.2015.28How to use a DOI?
- Keywords
- arc welding robot, vision sensing,image processing,seam tracking
- Abstract
In recent years, machine vision sensors have been widely used to track weld seam. A suitable way is designed to process image of aluminum alloy pulsed gas tungsten arc welding process experiments in this work. With the passive vision sensor to capture some ideal images, we adopt and compare different image processing methods to extract useful information, including target location, double filter, edge detection and seam centerline extraction. It is shown that the method has good effect on seam centerline extraction and seam tracking.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yunxia Chen AU - Su Zhao AU - Xiaojing Wang PY - 2015/08 DA - 2015/08 TI - Image processing of weld seam for Al alloy pulsed GTAW based on vision sensing BT - Proceedings of the 2015 International Conference on Advanced Engineering Materials and Technology PB - Atlantis Press SP - 138 EP - 143 SN - 2352-5401 UR - https://doi.org/10.2991/icaemt-15.2015.28 DO - 10.2991/icaemt-15.2015.28 ID - Chen2015/08 ER -