@inproceedings{6416f89cc0ea41d4bf1cb72af765dd0b,
title = "Fast vision-based surface inspection of defects for steel billets",
abstract = "Steel has played a leading role in the development of human civilization and technology. To achieve the goal of industry 4.0 for steel industry, intelligent automated manufacturing becomes increasingly important. One of the key steps on the automatic production line of steel pj-oducts is automatic inspection of surface detects. In this paper, we propose a fast vision-based surface inspection framework for defects on continuous casting steel billets. The proposed method relies only on simple pixel-domain vision-based operations to achieve fast and accurate inspection of surface defects. Experimental results have demonstrated that our method efficiently achieves good inspection accuracy on corner and sponge cracks on steel billets.",
keywords = "Automated optical inspection, Billet images, Defect detection, Defect inspection, Steel products",
author = "Hsu, {Chao Yung} and Ho, {Bing Shiou} and Kang, {Li Wei} and Weng, {Ming Fang} and Lin, {Chili Yang}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2016 ; Conference date: 26-10-2016 Through 28-10-2016",
year = "2017",
month = jan,
day = "3",
doi = "10.1109/ICCE-Asia.2016.7804804",
language = "???core.languages.en_GB???",
series = "2016 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2016 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2016",
}