Image Blending Methods for Defective PCB Image Generation

Ting Hui Chiang, Chun Hao Chang, Li Hsin Chen, Chun Ju Lin, An Chun Luo, Yu Shan Deng, Po Han Chang, Ming Ji Dai, Yu Chee Tseng

研究成果: Conference contribution同行評審

摘要

Recent works have shown that deep learning models effectively assist in the task of image classification, which is often applied in industrial problems, e.g., defective PCB detection. However, training a model for defect detection requires lots of training data, but nowadays, it is challenging to obtain defective samples due to the production line is stable and mature. Therefore, we design two defective PCB image generation methods for different defect types. The proposed generation methods can produce more defective PCB images as much as we want, and experimental results show that our proposed methods can generate realistic defective images.

原文English
主出版物標題Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022
發行者Institute of Electrical and Electronics Engineers Inc.
頁面261-262
頁數2
ISBN(電子)9781665470506
DOIs
出版狀態Published - 2022
事件2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022 - Taipei, 台灣
持續時間: 6 7月 20228 7月 2022

出版系列

名字Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022

Conference

Conference2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022
國家/地區台灣
城市Taipei
期間6/07/228/07/22

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