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Automated steel surface defect detection and classification using a new deep learning-based approach |
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| Authors: | Demir Kursat Ay Mustafa Cavas Mehmet Demir Fatih |
| Affiliation: | 1.Mechatronics Engineering Department, Technology Faculty, Firat University, Elazig, Turkey ;2.Vocational School of Technical Sciences, Electronic and Automation Department, Firat University, Elazig, Turkey ; |
| Abstract: | Neural Computing and Applications - In this study, a new deep learning-based approach has been developed that detects and classifies surface defects that occur in the steel production process. The... |
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