Unsupervised Learning with Generative Adversarial Network for Automatic Tire Defect Detection from X-ray Images

Unsupervised Learning with Generative Adversarial Network for Automatic Tire Defect Detection from X-ray Images

Automatic defect detection of tire has become an essential issue in the tire industry. However, it is challenging to inspect the inner structure of tire by surface detection. Therefore, an X-ray image sensor is used for tire defect inspection. At present, detection of defective tires is inefficient...

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Bibliographic Details
Main Authors: Yilin Wang, Yulong Zhang, Li Zheng, Liedong Yin, Jinshui Chen, Jiangang Lu
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Sensors
Subjects:
generative adversarial network
tire defect detection
anomaly detection
image reconstruction
memory-augmented module
Online Access:https://www.mdpi.com/1424-8220/21/20/6773

Internet

https://www.mdpi.com/1424-8220/21/20/6773

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