NDLI: An online inspection system of surface defects for copper strip based on computer vision

Content Provider	IEEE Xplore Digital Library
Author	Fei Gao Zheng Li Gang Xiao Xiaoyang Yuan Zhenggao Han
Copyright Year	2012
Description	Author affiliation: College of Computer Science & Technology, Zhejiang University of Technology, Hangzhou 310023, China (Fei Gao; Zheng Li; Gang Xiao; Xiaoyang Yuan; Zhenggao Han)
Abstract	In this paper, an online system based on computer vision has been designed using modularized frame to inspect surface defects in copper strips which affect the quality of copper strips. First, a prejudgment algorithm is advocated to identify whether the copper strip's surface images captured by linear charged couple device camera have defects. Then multiple features such as invariant moment, breadth-length ratio, circular degree and rectangular degree are extracted as feature vector of defect. Then the type of defect is identified by multiple features fuzzy classifier and warning signals like light, sound, and so on, are given according to different defect ranks. Finally, defect information and video of copper strip are both stored into storage. The system is put into practice in a factory of copper strip and is also proved to be applicable and effective.
Starting Page	1200
Ending Page	1204
File Size	361620
Page Count	5
File Format	PDF
ISBN	9781467309653
e-ISBN	9781467309646
DOI	10.1109/CISP.2012.6469775
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Strips fuzzy classification Image edge detection computer vision Inspection Cameras Feature extraction Copper defect inspection Surface treatment surface defect
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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