Res-UNet ensemble learning for mineral optical microscopy images semantic segmentation
Abstract: In geology and mineralogy, optical microscopic images have become a primary research focus for intelligent mineral recognition due to their low equipment cost, ease of use, and distinct mineral characteristics in imaging. However, due to their close reflectivity or transparency, some miner...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Multidisciplinary Digital Publishing Institute
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/118276/1/118276.pdf http://psasir.upm.edu.my/id/eprint/118276/ https://www.mdpi.com/2075-163X/14/12/1281 |
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