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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Detalles Bibliográficos
Autores principales: Wang, Yilin, Zhang, Yulong, Zheng, Li, Yin, Liedong, Chen, Jinshui, Lu, Jiangang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8540295/
https://www.ncbi.nlm.nih.gov/pubmed/34695986
http://dx.doi.org/10.3390/s21206773

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8540295/
https://www.ncbi.nlm.nih.gov/pubmed/34695986
http://dx.doi.org/10.3390/s21206773

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