Segmentation of pores in carbon fiber reinforced polymers using the U-Net convolutional neural network
This study demonstrates the utilization of deep learning techniques for binary semantic segmentation of pores in carbon fiber reinforced polymers (CFRP) using X-ray computed tomography (XCT) datasets. The proposed workflow is designed to generate efficient segmentation models with reasonable execut...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Czech Technical University in Prague
2023-10-01
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| Series: | Acta Polytechnica CTU Proceedings |
| Subjects: | |
| Online Access: | https://ojs.cvut.cz/ojs/index.php/APP/article/view/9407 |
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