Machine-Vision Based Defect Detection Technology for Industrial Fabric Alignment

Author:

Cao Yanling

Publisher

Springer International Publishing

Reference11 articles.

1. Tan, H.: Thoughts on the relationship between emotional design and packaging culture. Art Educ. Res. 20, 39–40 (2016)

2. Xu, L., Zeng, Z., Liu, J.Z., et al.: Application and research of machine vision on on-line inspection for printed defect. Bull. Sci. Technol. 34(7), 174–177, 182 (2018)

3. Celik, H.I., Duelger, L.C., Topalbekiroglu, M.: Development of a machine vision system: real-time fabric defect detection and classification with neural networks. J. Text. Inst. 105(6), 575–585 (2014)

4. Wang, Z.R., Fang, Y.M., Feng, H.L.: Method for wooden knot detection and localization. Laser Optoelectron. Prog. 55(5), 051501 (2018)

5. Zheng, L., Yuan, J.: Aluminum-plastic drug packaging detection and application based on machine vision. Bull. Sci. Technol. 34(7) (2018)

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