摘要
研究了一种基于语义分割的综采工作面视频拼接方法。该方法针对井下要求,以采煤机为拼接主体。首先使用语义分割模型分割出各路监控视频中的采煤机,获取其在图像中的位置;然后根据采煤机位置来对齐各路监控视频中的采煤机;最后使用图像融合技术来对重叠区域进行融处理。实验结果表明,该方法能够有效地满足井下工作面拼接需求,并具有较高的稳定性和普适性。
Studied a fully mechanized mining face video splicing method based on semantic segmentation.The method is aimed at the underground requirements,and takes the shearer as the main body of the splicing.First,used the semantic segmentation model to segment the shearers in each surveillance video to obtain their positions in the image;then aligned the shearers in each surveillance video according to the location of the shearers;finally,used image fusion technology to fuse the overlapping area.The experimental results show that this method can effectively meet the splicing requirements of underground working faces,and has high stability and universality.
作者
杨帅
郭龙真
朱朋飞
高梦阳
宋贵科
Yang Shuai;Guo Longzhen;Zhu Pengfei;Gao Mengyang;Song Guike(Zhengzhou Coal Machine Hydraulic Electric Control Co.,Ltd.,Zhengzhou 450000,China;Zhengzhou Coal Mining Machinery Group Co.,Ltd.,Zhengzhou 450000,China)
出处
《煤矿机械》
2023年第5期206-208,共3页
Coal Mine Machinery
基金
河南省科技攻关项目(221100220200)。
关键词
综采工作面
视频拼接
语义分割
图像融合
fully mechanized mining face
video splicing
semantic segmentation
image fusion
作者简介
杨帅(1993-),河南驻马店人,硕士,现主要从事煤矿智能开采技术研究工作,电子信箱:yangshuai2711@163.com.
