基于边缘检测算法的煤矸石自动分选技术研究  

Automatic separation technology research of coal gangues based on edge detection algorithm

作　　者：牛清娜[1] 

机构地区：[1]河北工程大学科信学院,河北邯郸056038

出　　处：《河北工程大学学报（自然科学版）》2012年第4期98-100,共3页Journal of Hebei University of Engineering:Natural Science Edition

基　　金：邯郸市科技局资助项目(1121102064)

摘　　要：根据煤块和矸石的灰度与纹理不同,利用图像处理技术来识别煤块和矸石的基本特性,在对图像分析过程中运用中值滤波原理、边缘检测算法等进行图形的预处理与识别,得到煤块和矸石图像直方图灰度概率分布的均值与方差,把其作为标准值储存在计算机中,将实测值与标准值进行比较,并结合计算机技术和控制设备实现煤矸石的在线自动分选。本技术能够降低人工选煤的劳动强度,提高了煤块和矸石分选的效率。The automatic separation technology of coal gangues is studied. According to the difference between gray and texture of coal and gangue, the paper identify the basic characteristics of coal and gangue using image processing technique, get the gray and texture of coal and gangue＇s images after image preprocessing and recognition, median filter principle, edge detection algorithm and so on are used in the process of image analysis. Taking the mean and variance of gray probability distribution getting from histogram as the standard value to store in the computer, the paper compare it with the actual image processing result and realize automatic separation of coal and gangue combining with sin- gle chip microcomputer and control equipment.

关 键 词：煤矸石 中值滤波 边缘检测 自动分选 

分 类 号：TD94[矿业工程—选矿] TP391[自动化与计算机技术—计算机应用技术]