Segmentation of openings in non-crimp fabric using deep learning
Non-Crimp Fabrics (NCF) are widely used in industries like aerospace due to their lightweight and high-strength properties. Accurate characterization of openings in NCF is essential for maintaining material quality and performance. Traditional machine vision methods, such as histogram-based and edge...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Aeronautical and Astronautical Society of the Republic of China
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/117868/1/117868.pdf http://psasir.upm.edu.my/id/eprint/117868/ https://www.airitilibrary.com/Article/Detail/P20140627004-N202504100011-00043 |
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