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同行評審

2 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???core.languages.en_GB???
主出版物標題Intelligent Systems and Applications - Proceedings of the International Computer Symposium, ICS 2014
編輯William Cheng-Chung Chu, Han-Chieh Chao, Stephen Jenn-Hwa Yang
發行者IOS Press BV
頁面1239-1247
頁數9
ISBN(電子)9781614994831
DOIs
出版狀態已出版 - 2015
事件International Computer Symposium, ICS 2014 - Taichung, Taiwan
持續時間: 12 12月 201414 12月 2014

出版系列

名字Frontiers in Artificial Intelligence and Applications
274
ISSN(列印)0922-6389
ISSN(電子)1879-8314

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???International Computer Symposium, ICS 2014
國家/地區Taiwan
城市Taichung
期間12/12/1414/12/14

指紋

深入研究「Vision-based detection of steel billet surface defects via fusion of multiple image features」主題。共同形成了獨特的指紋。

引用此