Machine Vision-Based Defect Classification Algorithm for Rolled Packages

Author:

Zhou Wenbin,Li Ruihan,Guo Junhao,Li Zhiliang,Zhou Ruoyan,Zhu Hongyun,Jian Zihao,Lai Yongxuan

Publisher

Springer Nature Singapore

Reference18 articles.

1. Sun, N.: Research on online inspection method for appearance quality of cigarette packaging. Kunming University of Science and Technology (2021). https://doi.org/10.27200/d.cnki.gkmlu.2020.000360

2. Chang, C.: Image recognition based defect detection method for cigarette packaging seals. Beijing University of Chemical Technology (2015)

3. Liu, W.: Research on appearance detection of cigarette small framees based on convolutional neural networks. Technol. Innov. Appl. 12(03), 39–41+44 (2022). https://doi.org/10.19981/j.CN23-1581/G3.2022.03.010

4. Yan, X.: An algorithm for detecting cigarette anomalies based on visual perception features. Tobacco Technol. (01) (2016)

5. Liu, H.: Design of automatic detection algorithm for sealing defects in small cigarette packages. Mech. Des. Manuf. Eng. 48(06), 37–40 (2019)

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