On the Application of Automated Machine Vision for Leather Defect Inspection and Grading: A Survey-Reference-Cited by-同舟云学术

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On the Application of Automated Machine Vision for Leather Defect Inspection and Grading: A Survey

Published:2019 Issue: Volume:7 Page:176065-176086
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Aslam Masood^ORCID,Khan Tariq M.^ORCID,Naqvi Syed Saud^ORCID,Holmes Geoff,Naffa Rafea

Funder

Ministry of Business, Innovation and Employment

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8600701/08920080.pdf?arnumber=8920080

Cited by 27 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. MLR-Net: A multi-layer residual convolutional neural network for leather defect segmentation;Engineering Applications of Artificial Intelligence;2023-11

2. A technology maturity assessment framework for Industry 5.0 machine vision systems based on systematic literature review in automotive manufacturing;International Journal of Production Research;2023-10-17

3. Comparative study on deep-learning-based leather surface defect identification;Measurement Science and Technology;2023-09-27

4. Trainable guided attention based robust leather defect detection;Engineering Applications of Artificial Intelligence;2023-09

5. Multi-scale Feature Fusion Extraction Structure for the Leather Defect Detection Algorithm;2023 IEEE 6th International Conference on Pattern Recognition and Artificial Intelligence (PRAI);2023-08-18

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