摘要
根据煤矿工作面煤与岩石的性状不同,基于聚类分析的基本原理、应用高斯混合模型、借助数字图像处理技术,对工作面的煤岩界面图像进行了分析和研究,提出了一种基于高斯混合聚类算法的煤岩识别技术。应用过程为通过布置工作面采集装置、采集工作面煤岩数据,应用不同的图像处理技术手段分析工作面煤岩数据、计算工作面煤岩分界数据。经测实验证,高斯混合聚类算法的技术手段能够为部分煤矿工作面煤岩界面识别的研究提供参考。
A method on coal-rock identification based on the difference between coal and rock was developed in this study. Threshold analysis, clustering analysis and Gaussian mixture model method were used on the study of coal-rock interface identification. In the study layout of the cameras at coal working face and the acquisition of coal-rock data from working face were designed, and then the coal-rock interface data with the applications of image processing technology were calculated. According to the results of the research, Gauss mixture clustering can be applied to study the coal-rock interface recognition at some coal working faces. © 2015, China Coal Society. All right reserved.
出处
《煤炭学报》
EI
CAS
CSCD
北大核心
2015年第S2期576-582,共7页
Journal of China Coal Society
