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Adaptive channel threshold segmentation-based low-light image enhancement method for fully mechanized coal mining

Jiangbin Zhao, Juncheng Wu, Xiangang Cao

    Applied Optics
    |March 17, 2026
    PubMed
    Summary

    This study introduces a new low-light image enhancement method (LEM-CTSPM) for fully mechanized coal mining (FMCM) environments. The method improves image quality in challenging conditions, boosting worker detection accuracy by 6.93%.

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    Area of Science:

    • Computer Vision and Image Processing
    • Mining Engineering and Safety

    Background:

    • Safety monitoring in fully mechanized coal mining faces (FMCMF) is critical.
    • Harsh environments with dust, water mist, and uneven lighting degrade image quality.
    • Low-light conditions hinder effective worker safety monitoring.

    Purpose of the Study:

    • To develop an effective low-light image enhancement method for FMCMF.
    • To improve image quality for better worker detection and safety.
    • To propose a method that addresses over-exposure and dark regions simultaneously.

    Main Methods:

    • Introduced a low-light enhancement method based on channel threshold segmentation of the physical model (LEM-CTSPM).
    • Employed adaptive thresholds (K1, K2) for refined segmentation based on image intensity differences.

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  • Combined Conv-based dark channel thresholds, adaptive atmospheric light estimation, haze formation model theory, and HSV saturation optimization.

    • Main Results:

    • LEM-CTSPM demonstrated superior performance on standard low-light datasets and a specific FMCMF dataset.
    • The method effectively decreases over-exposed areas and increases brightness in dark regions.
    • Integration with YoLov8 for worker detection showed a 6.93% improvement in detection accuracy.

    Conclusions:

    • LEM-CTSPM is highly suitable for enhancing low-light images in FMCMF environments.
    • The proposed method significantly improves image quality and worker detection accuracy.
    • This contributes to enhanced safety and operational efficiency in coal mines.