Research of Inspection System Based on Machine Vision for Steel Rod Surface Defects

Article Preview

Abstract:

A new algorithm based on local gradient is proposed to inspect steel rod surface defects. The local gradient method can weaken the effect of noise in steel rod surface image. Then the open operation of morphology theory is employed to remove the retaining noise. Experiments show that this algorithm is effective to inspect steel rod surface defects and is time-saving.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 418-420)

Pages:

1878-1881

Citation:

Online since:

December 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] S.H. Choi, H.M. Bae, H.W. Hwang, C.H. Park, U.S. Patent 20100246974 A1. (2010)

Google Scholar

[2] T.S. Chang, D.Gutchess, Huang. U.S. Patent 20080063426 A1. (2008)

Google Scholar

[3] Y.C. Liu, Y.L. Hsu, Y.N. Sun, S.J. Tsai, C.Y. Ho and C.M. Chen. A Computer Vision System for Automatic Steel Surface Inspection[C] Proc. of 2010 5th IEEE Conference on Industrial Electronics and Applications. Taichung, Taiwan: IEEE, 2010: 1667-1670.

DOI: 10.1109/iciea.2010.5515197

Google Scholar

[4] J.P. Yun, Y.S. Park, B.Seo and S.W. Kim. Development of Real-time Defect Detection Algorithm for High-speed Steel Bar in Coil(BIC)[C] Proc. of SICE-ICASE International Joint Conference 2006. Bexco, Busan, Korea: IEEE Computer Society, 2006: 2495-2498

DOI: 10.1109/sice.2006.314680

Google Scholar

[5] G.F. Wu, K. Xu and J.W. Xu. Computer Aplications. Vol. 25(2005), p.326(In Chinese).

Google Scholar