GIRH-Unet: Improved Residual Tobacco Segmentation Algorithm Based on GhostNetV3-Unet
Cigarette production presents an industrial environment with significant light and shadow interference. The residual tobacco contains fine particles that exhibit random distribution and varying edge morphologies. These factors contribute to the reduced accuracy and robustness of visual detection tec...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10960713/ |
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