In this paper, we developed a blowhole detection algorithm using texture analysis. We applied Gabor filter to extract defect candidates and used subsequently texture information to classify defect and pseudo-defect. To increase performance, size filtering and adaptive thresholding method were used. The proposed algorithm was tested on 343 images. The experimental result described in this paper shows that this algorithm was effective and suitable for blowhole detection in steel slabs.

Date Published: 13 January 2012
PDF: 6 pages
Proc. SPIE 8350, Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies, 83501I (13 January 2012); doi: 10.1117/12.920132

Published in SPIE Proceedings Vol. 8350:
Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies
Safaa S. Mahmoud; Zhu Zeng; Yuting Li, Editor(s)