Vision-based detection of steel billet surface defects via fusion of multiple image features

Chao Yung Hsu, Li Wei Kang, Chih Yang Lin, Chia Hung Yeh, Chia Tsung Lin

研究成果: 書貢獻/報告類型會議論文篇章

1 引文 斯高帕斯(Scopus)

摘要

Automatic inspection techniques have been widely employed to achieve high productivity while ensuring high-quality products in steel making industry. In this paper, a vision-based detection framework for automatically detecting different types of steel billet surface defects is proposed. The defects considered in this study includes cratches, corner cracks, sponge cracks, slivers, and roll marks. In the proposed framework, to improve the quality of image acquisition for billet surface, two preprocessing techniques, i.e., automatic identification of ROI (region of interest) and HDR (high dynamic range)-based image enhancement techniques, are proposed. Then, DWT (discrete wavelet transform)-based image feature is extracted from the image to be detected and fused with the other two extracted local features based on variance and illumination to identify each defect on the billet surface. Experimental results have verified the feasibility of the proposed method.

原文英語
主出版物標題Intelligent Systems and Applications - Proceedings of the International Computer Symposium, ICS 2014
編輯William Cheng-Chung Chu, Stephen Jenn-Hwa Yang, Han-Chieh Chao
發行者IOS Press
頁面1239-1247
頁數9
ISBN(電子)9781614994831
DOIs
出版狀態已發佈 - 2015
對外發佈
事件International Computer Symposium, ICS 2014 - Taichung, 臺灣
持續時間: 2014 十二月 122014 十二月 14

出版系列

名字Frontiers in Artificial Intelligence and Applications
274
ISSN(列印)0922-6389

其他

其他International Computer Symposium, ICS 2014
國家/地區臺灣
城市Taichung
期間2014/12/122014/12/14

ASJC Scopus subject areas

  • 人工智慧

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