A Non-Invasive System for On-line Surface Defect Detection on Special-shaped Steel towards Real Production Lines
Author:
Affiliation:
1. Tianjin University,School of Electrical and Information Engineering,Tianjin,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9806445/9806446/09806583.pdf?arnumber=9806583
Reference26 articles.
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5. iLearn self-learning defect classifier;carisetti;Iron and Steel Engineer,1998
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