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Proceedings Paper

Blowhole detection algorithm using texture analysis
Author(s): Doo-chul Choi; Yong-Ju Jeon; Jong Pil Yun; Sang Woo Kim
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Paper Abstract

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.

Paper Details

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
Show Author Affiliations
Doo-chul Choi, Pohang Univ. of Science and Technology (Korea, Republic of)
Yong-Ju Jeon, Pohang Univ. of Science and Technology (Korea, Republic of)
Jong Pil Yun, Pohang Iron & Steel Co., Ltd. (Korea, Republic of)
Sang Woo Kim, Pohang Univ. of Science and Technology (Korea, Republic of)


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)

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