Research of U-Net-Based CNN Architectures for Metal Surface Defect Detection

The quality, wear and safety of metal structures can be controlled effectively, provided that surface defects, which occur on metal structures, are detected at the right time. Over the past 10 years, researchers have proposed a number of neural network architectures that have shown high efficiency i...

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Bibliographic Details
Published in:	Machines
Main Authors:	Ihor Konovalenko, Pavlo Maruschak, Janette Brezinová, Olegas Prentkovskis, Jakub Brezina
Format:	Article
Language:	English
Published:	MDPI AG 2022-04-01
Subjects:	surface defect detection visual inspection technology image segmentation CNN optimizer strip surface metallurgy
Online Access:	https://www.mdpi.com/2075-1702/10/5/327

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