Abstract
In order to control welding robot to trace welding seams well, a binocular vision method is researched in this paper according to three dimension rebuilding theory. This sensor system adopted two JC-BP650 vision sensors. At the same time, an algorithm of binocular vision image match with competitive match theory is designed. The algorithm included a series of image feature extraction, and image feature match. Image experiment showed Canny operator is more suitable than other image process operators after comparing image process effectiveness. With image feature matching process, best match point is oriented and calculated easily along the real depth. A flow chart of image are processed and a software program is developed, too. Depth extraction experiments indicated that image algorithm has good ability of real process and it can detect the depth information well. Experiment shows different errors of the system and the error rate is in the lowest condition when the depth is 27.5 cm.
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© 2011 Springer-Verlag Berlin Heidelberg
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Ma, G., Qin, J., Jiang, F.R., Wang, H.B. (2011). Depth Extraction by Simplified Binocular Vision. 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_22
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DOI: https://doi.org/10.1007/978-3-642-19959-2_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19958-5
Online ISBN: 978-3-642-19959-2
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