Browsing by Author "Öz, Muhammed Ali Nur"
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A Nested Autoencoder Approach to Automated Defect Inspection on Textured Surfaces
Öz, Muhammed Ali Nur; Kaymakçı, Özgur Turay; Mercimek, Muharrem (Sciendo, 2021)In recent years, there has been a highly competitive pressure on industrial production. To keep ahead of the competition, emerging technologies must be developed and incorporated. Automated visual inspection systems, which ... -
Anomaly localization in regular textures based on deep convolutional generative adversarial networks
Öz, Muhammed Ali Nur; Mercimek, Muharrem; Kaymakçı, Özgur Turay (Springer, 2022)Pixel-level anomaly localization is a challenging problem due to the lack of abnormal training samples. The existing adversarial network methods attempt to segment anomalies by reconstructing the image then comparing the ... -
Automated fabric inspection system development aided with convolutional autoencoder-based defect detection
Industrial automatic fabric inspection system, a critical technology in the industry, enhances both total production quantity and quality compared to conventional inspection techniques. This study aims to create a reliable ...
