Abstract
Vision sensing is one of the most powerful non-contact sensing technologies used for the monitoring and automatic control of welding process. The effectiveness of image processing in vision sensing is the base for successful welding seam tracking. This paper introduces a welding seam tracking system which includes an arc welding robot, an image acquisition unit and an image processing system. An image processing algorithm based on fuzzy theory is presented in detail. Experimental results show that this method can properly detect the edges of welding seams.
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© 2011 Springer-Verlag Berlin Heidelberg
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Xiong, Z., Wan, W., Pan, J. (2011). Application of Fuzzy Edge Detection in Weld Seam Tracking System. In: Tarn, TJ., Chen, SB., Fang, G. (eds) Robotic Welding, Intelligence and Automation. Lecture Notes in Electrical Engineering, vol 88. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19959-2_40
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DOI: https://doi.org/10.1007/978-3-642-19959-2_40
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19958-5
Online ISBN: 978-3-642-19959-2
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