Publikace: Automated Dataset Enhancement Using GAN for Assessment of Degree of Degradation around Scribe
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Autoři
Doležel, Petr
Pakosta, Marek
Rozsívalová, Veronika
Štursa, Dominik
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IEEE (Institute of Electrical and Electronics Engineers)
Abstrakt
Coil coating is a method of applying an organic coating material to a rolled metal strip substrate in a continuous automated process. It is used to provide a high quality, durable finish to a variety of surfaces. The degradation resistance of coil-coated materials is assessed according to European Standard EN 13523-8 by exposing a coil-coated test specimen to a salt fog at a defined temperature for a defined period of time. After this process, a sample is tested according to the International Organisation for Standardisation ISO 4628 standard to determine the degree of degradation. In this study, a GAN-based technique for automated training set enhancement is proposed to assess the degree of degradation around a scribe. The presented technique is capable of enhancing a manually generated dataset of images with synthetic samples to help refine the performance of the area degradation detector.
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Klíčová slova
coil coating, delamination, degradation, semantic segmentation, deep learning, generative adversarial network, coil coating, delaminace, degradace, sémantická segmentace, hluboké učení, generativní adverzní síť