A method of steel strip image segmentation based on local gray information
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx5/4599586/4608308/04608646.pdf?arnumber=4608646
Cited by 6 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. Road Surface Defect Detection—From Image-Based to Non-Image-Based: A Survey;IEEE Transactions on Intelligent Transportation Systems;2024-09
2. An efficient and real-time steel surface defect detection method based on single-stage detection algorithm;Multimedia Tools and Applications;2024-06-15
3. A Highly Efficient Surface Defect Detection Approach for Hot Rolled Strip Steel Based on Deep Learning;2021 6th International Conference on Robotics and Automation Engineering (ICRAE);2021-11-19
4. Automatic monitoring of steel strip positioning error based on semantic segmentation;The International Journal of Advanced Manufacturing Technology;2020-09-01
5. Semantic Segmentation Based on Convolution Neural Network for Steel Strip Position Estimation;Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference;2020
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