13 January 2012 Blowhole detection algorithm using texture analysis
Author Affiliations +
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.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Doo-chul Choi, Doo-chul Choi, Yong-Ju Jeon, Yong-Ju Jeon, Jong Pil Yun, Jong Pil Yun, Sang Woo Kim, 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); doi: 10.1117/12.920132; https://doi.org/10.1117/12.920132

Back to Top