A new classification algorithm for low concentration slurry based on machine vision
Abstract Machine vision was utilized in this study to accurately classify the low concentration slurry. Orthogonal experiment L9(34) indicated that the optimal coal slurry collection images were achieved with exposure value of 10, slurry layer thickness of 7 cm, and light intensity of 5 × 104 lux. S...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-12-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-024-83765-x |
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