Application of CycleGAN-based low-light image enhancement algorithm in foreign object detection on belt conveyors in underground mines
Abstract Clear monitoring images are crucial for the safe operation of belt conveyors in coal mines. However, in underground environments, low illumination and uneven brightness can significantly degrade image quality, thereby affecting the detection of foreign objects in coal flow and reducing the...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-10779-4 |
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