Development of an Algorithm for the Program to Recognize Defects on the Surface of Hot-Rolled Metal
Author:
Affiliation:
1. South Ural State University (Nation Research University),Chelyabinsk,Russia
2. Northern Trans-Ural State Agricultural University,Tyumen,Russia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9786772/9787073/09787116.pdf?arnumber=9787116
Reference34 articles.
1. GOST 52246–2016;Hot-Dip Galvanized Sheet Metal,2017
2. GOST 21014–88;Rolled Ferrous Metals Terms and Definitions of Surface Defects,1990
3. Automated Visual Defect Detection for Flat Steel Surface: A Survey
4. The purification of the environment from hydrogen sulphide by using wet electro-filter
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1. Using Computer Vision to Recognize Defects on the Surface of Hot-rolled Steel;2022 International Ural Conference on Electrical Power Engineering (UralCon);2022-09-23
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