NDLI: Detection of scratch defects on slab surface

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Table of contents

2008 International Conference on Control, Automation and Systems

2007 International Conference on Control, Automation and Systems

Detection of scratch defects on slab surface

Content Provider	IEEE Xplore Digital Library
Author	Yong-Ju Jeon Doo-chul Choi Jong Pil Yun Changhyun Park Sang Woo Kim
Copyright Year	2011
Description	Author affiliation: System Research Group, Engineering Research Center, POSCO, Pohang, Korea (Jong Pil Yun; Changhyun Park) \|\| Department of Electrical Engineering, POSTECH, Pohang, Korea (Yong-Ju Jeon; Doo-chul Choi; Sang Woo Kim)
Abstract	Non-destructive automatic inspection systems are in high demand in the steel industry, for controlling the quality and increasing the productivity of steel products. In this study, we developed an algorithm for detecting scratch defects on slabs by using image-processing techniques. To reduce the effect of lighting condition and amplify the features of the defects, we used a Gabor filter and carried out edge-pair detection. The histogram-based and gradient texture features, and support vector machine are used to detect the scratch defects. Experimental results proved the effectiveness of the proposed algorithm.
Starting Page	1274
Ending Page	1278
File Size	2316346
Page Count	5
File Format	PDF
ISBN	9781457708350
ISSN	20937121
e-ISBN	9788993215038
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-26
Publisher Place	Korea (South)
Access Restriction	Subscribed
Rights Holder	ICROS
Subject Keyword	Gabor filter Scratch Image edge detection Lighting Inspection Feature extraction Cameras Steel Slabs Slab Visual inspection Defect detection
Content Type	Text
Resource Type	Article

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