Real-time segmentation method of coal gangue based on adaptive low illumination image enhancementGUO Yongcun, YANG Yuhao, LI Deyong, WANG Shuang, HE Lei, LUO Qisheng1-19
Review of object detection and hazard identification methods in mine video imagesCHENG Deqiang, SUN Fengqian, HAO Dashuai, WANG Yanchen, KOU Qiqi20-38
Coal silo state monitoring technology based on 4D millimeter-wave radarZHANG Qiang, LIU Wei, ZHANG Runxin, WANG Yang, SHI Minghan39-50
Research on quantitative detection method of belt conveyor deviation in coal mines based on three-dimensional point cloudMAO Qinghua, SU Yinan, YI Chun, ZHAI Jiao, XUE Xusheng, WANG Rongquan, SHANG Xinmang51-66
Direction-guided grouping for point cloud semantic segmentation in coal mine roadwaysCHENG Jian, ZHANG Shuchen, LI Heping, AN Ning, ZHAO Hailong, XIU Haixin67-81
A review and prospect of image enhancement methods in low-luminance environments of minesKOU Qiqi, ZHANG Heng, WU Quanlin, CHEN Liangliang, CHENG Deqiang82-100
Review of critical image enhancement technologies for underground coal mine applicationsZHANG Liya, HAO Bonan, MA Zheng, YANG Zhifang, PENG Li101-116
Low-illumination mine image enhancement algorithm based on improved EnlightenGANTIAN Feng, WANG Mengjiao, LIU Xiaopei, WEI Xijie, ZHAO Weiping117-127
Recognition method of transient falling images of coal and gangue separation in underground solid backfill mining with multimodal large language modelsZHANG Yun, YANG Yixuan, LAI Xingping, TONG Liang, CAO Shenggen, LIU Yongzi, ZHANG Long, BAI Licheng, YE Hao128-147
Underground heteroge neous image fusion based on low-light correction and dual encodersMA Xu, CUI Yimeng, DENG Jun, HAO Shuai, LI Tianqi, QI Tianrui148-157