Blowhole detection algorithm using texture analysis

Doo-chul Choi; Yong-Ju Jeon; Jong Pil Yun; Sang Woo Kim

doi:10.1117/12.920132

13 January 2012 Blowhole detection algorithm using texture analysis

Doo-chul Choi, Yong-Ju Jeon, Jong Pil Yun, Sang Woo Kim

Proceedings Volume 8350, Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies; 83501I (2012) https://doi.org/10.1117/12.920132
Event: Fourth International Conference on Machine Vision (ICMV 11), 2011, Singapore, Singapore

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.

Citation Download Citation

Doo-chul Choi, Yong-Ju Jeon, Jong Pil Yun, and Sang Woo Kim "Blowhole detection algorithm using texture analysis", 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); https://doi.org/10.1117/12.920132

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