A computer vision system for automatic steel surface inspection
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx5/5508196/5514667/05515197.pdf?arnumber=5515197
Cited by 21 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. Systematic Review of Steel Surface Defect Detection Methods on the Open Access Datasets of Severstal and the Northeastern University (NEU);Engineering Materials;2024
2. Research on surface defect identification of steel balls based on improved K-CV parameter optimization support vector machine;Advances in Mechanical Engineering;2023-12
3. A detection method of spangle defects on zinc-coated steel surfaces based on improved YOLO-v5;The International Journal of Advanced Manufacturing Technology;2023-07-23
4. Automated steel surface defect detection and classification using a new deep learning-based approach;Neural Computing and Applications;2022-12-08
5. Classification of Surface Defects on Steel Strip Images using Convolution Neural Network and Support Vector Machine;Journal of Failure Analysis and Prevention;2022-01-28
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