Citation: | SHEN Ke, JI Liang, ZHANG Yuanhao, et al. Research on coal and gangue detection algorithm based on improved YOLOv5s model[J]. Industry and Mine Automation, 2021, 47(11): 107-111. doi: 10.13272/j.issn.1671-251x.17838 |
[1] |
孙超,姜琳,袁广玉.“十四五”期间我国煤炭供需趋势分析[J].煤炭工程,2021,53(5):193-196.
SUN Chao,JIANG Lin,YUAN Guangyu.Trend analysis of China's coal supply and demand during the 14th Five-Year Plan[J].Coal Engineering,2021,53(5):193-196.
|
[2] |
ZHANG Ningbo,LIU Changyou.Radiation characteristics of natural gamma-ray from coal and gangue for recognition in top coal caving[J].Scientific Reports,2018,8(1):1-9.
|
[3] |
MOHANTA K S,MEIKAPB C.Influence of medium particle size on the separation performance of an air dense medium fluidized bed separator for coal cleaning[J].Journal of the Southern African Institute of Mining and Metallurgy,2015,115(8):761-766.
|
[4] |
李建平,郑克洪,杜长龙.煤和矸石的冲击破碎粒度分布特征[J].煤炭学报,2013,38(增刊1):54-58.
LI Jianping,ZHENG Kehong,DU Changlong.The distribution discipline of impact crushed on coal and gangue[J].Journal of China Coal Society,2013,38(S1):54-58.
|
[5] |
曹现刚,李莹,王鹏,等.煤矸石识别方法研究现状与展望[J].工矿自动化,2020,46(1):38-43.
CAO Xiangang,LI Ying,WANG Peng,et al.Research status of coal-gangue identification method and its prospect[J].Industry and Mine Automation,2020,46(1):38-43.
|
[6] |
刘富强,钱建生,王新红,等.基于图像处理与识别技术的煤矿矸石自动分选[J].煤炭学报,2000,25(5):534-537.
LIU Fuqiang,QIAN Jiansheng,WANG Xinhong,et al.Automatic separation of waste rock in coal mine based on image procession and recognition[J].Journal of China Coal Society,2000,25(5):534-537.
|
[7] |
刘丽,赵凌君,郭承玉,等.图像纹理分类方法研究进展和展望[J].自动化学报,2018,44(4):584-607.
LIU Li,ZHAO Lingjun,GUO Chengyu,et al.Texture classification:state-of-the-art methods and prospects[J].Acta Automatica Sinica,2018,44(4):584-607.
|
[8] |
ZHANG Ning,DONAHUE J,GIRSHICK R,et al.Part-based R-CNNs for fine-grained category detection[C]//European Conference on Computer Vision(ECCV),Zurich,2014:834-849.
|
[9] |
LIU Wei,ANGUELOV D,ERHAN D,et al.SSD:single shot multibox detector[C]//European Conference on Computer Vision(ECCV),Amsterdam,2016:21-37.
|
[10] |
REDMON J,DIVVALA S,GIRSHICK R,et al.You only look once:unified,real-time object detection[C]//Conference on Computer Vision and Pattern Recognition(CVPR),Las Vegas,2016:779-788.
|
[11] |
王中举,毛馨凯,孙江.基于视频解析的智能煤矸分选技术研究[J].工矿自动化,2021,47(增刊1):122-125.
WANG Zhongju,MAO Xinkai,SUN Jiang.Research on intelligent coal-gangue separation technology based on video analysis[J].Industry and Mine Automation,2021,47(S1):122-125.
|
[12] |
来文豪,周孟然,胡锋,等.基于多光谱成像和改进YOLO v4的煤矸石检测[J].光学学报,2020,40(24):72-80.
LAI Wenhao,ZHOU Mengran,HU Feng,et al.Coal gangue detection based on multi-spectral imaging and improved YOLO v4[J].Acta Optica Sinica,2020,40(24):72-80.
|
[13] |
DU Shuangjiang,ZHANG Pin,ZHANG Baofu,et al.Weak and occluded vehicle detection in complex infrared environment based on improved YOLOv4[J].IEEE Access,2021,9:25671-25680.
|
[14] |
JI Weizhen,LIU Deer,MENG Yifei,et al.Exploring the solutions via Retinex enhancements for fruit recognition impacts of outdoor sunlight:a case study of navel oranges[J].Evolutionary Intelligence,2021:1-37.
|
[15] |
LIU Jiangjiang,HOU Qibin,CHENG Mingming,et al.Improving convolutional networks with self-calibrated convolutions[C]//Conference on Computer Vision and Pattern Recognition(CVPR),Seattle,2020:10093-10102.
|