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

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...

Full description

Bibliographic Details
Main Authors: Ihor Konovalenko, Pavlo Maruschak, Janette Brezinová, Olegas Prentkovskis, Jakub Brezina
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Machines
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

Internet

https://www.mdpi.com/2075-1702/10/5/327

Similar Items