Research on Soil Pore Segmentation of CT Images Based on MMLFR-UNet Hybrid Network
Accurate segmentation of soil pore structure is crucial for studying soil water migration, nutrient cycling, and gas exchange. However, the low-contrast and high-noise CT images in complex soil environments cause the traditional segmentation methods to have obvious deficiencies in accuracy and robus...
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| Main Authors: | Changfeng Qin, Jie Zhang, Yu Duan, Chenyang Li, Shanzhi Dong, Feng Mu, Chengquan Chi, Ying Han |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
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| Series: | Agronomy |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4395/15/5/1170 |
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