Weld Seam Detection Based on the Genetic Algorithm

Article Preview

Abstract:

A new weld seam detection based on the genetic algorithm has been presented. Firstly, the experimental platform has been setup, and the welding images can be captured by the CCD camera in real time. On this basis, the process region, which is in front of the weld pool, has been determined. Then the median filter has been applied to reduce the disturbance of the noise producing during the welding period. Moreover, the GA has been deeply researched and applied to the weld seam detection. In the end, some experiments have been caught out, and the results show that compared with the traditional Ostu process method, the weld seam images, which are processed by the genetic algorithm, are more clearer and have less noise, which can meet the satisfy of auto welding system.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

222-225

Citation:

Online since:

October 2012

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] K. Ding, Q. Yu, H. Qiu, etal: Welding and Joining, (2004) No.5, pp.29-31(in Chinese).

Google Scholar

[2] C.S. Zhang, J.X. Ye: Welding Technology, Vol.38 (2009) No.4, pp.1-3(in Chinese).

Google Scholar

[3] J.P. Jia, H. Zhang, J.N. Xu: Welding and Joining, (2005) No.11, pp.14-18(in Chinese).

Google Scholar

[4] W. Wang, Q.S. Zou, L.M. Zhu, G.J. Song: Electric Welding Machine, (2002) No.32, pp.1-8(in Chinese).

Google Scholar

[5] S. M. Yang, N. H. Cho, H. Y. Lee, and T. D. Cho: Measurement Science and Technology, (2007) No.18, p.819.

Google Scholar

[6] X.D. Gao, D.K. Ding, T.X. Bai, S. Katayama: Image processing, Vol. 5 (2009) No.5, pp.410-419.

Google Scholar

[7] H.B. Duan, X.Y. Zhang, C.F.Xu: Bio-inspired Computin g(Science Press, China 2010).

Google Scholar