图像处理在矿井瓦斯监控中的应用研究  

Application Research of Image Processing in Gas Monitoring of Coal Mine

作　　者：王猛[1] 李玉良[1] 王庆飞[1] 

机构地区：[1]中国矿业大学信电学院,江苏徐州221008

出　　处：《工矿自动化》2011年第7期61-64,共4页Journal Of Mine Automation

摘　　要：针对目前煤矿采掘工作面便携式瓦斯报警仪监控过程中存在繁琐、枯燥的现场报数问题,提出了采用摄像机对便携式瓦斯报警仪进行实时监控并对监控视频图像序列进行图像处理和识别的方法;详细介绍了瓦斯浓度自动识别过程中的图像预处理、边缘检测和瓦斯浓度示数区域分割方法,即采用图像灰度化法和中值滤波法对监控图像进行预处理,分别使用Roberts边缘算子、Prewitt边缘算子、Sobel边缘算子对瓦斯浓度示数区域的图像边缘进行提取,通过Hough变换对瓦斯浓度示数区域附近的边缘直线进行检测,实现对目标图像的分割。There are problems in gas monitoring using portable gas alarm in working face of coal mine,such as gas concentration reporting is tedious and boring.In the paper,camera was used to monitor portable gas alarm real-timely and methods of image processing and automatic identification of images collected by the camera were also put forward.The specific processes in automatic identification of gas concentration including image preprocessing,detection of image edge,and segmentation of displaying region of gas concentration were introduced in details,namely using image graycale method and mid-value filtering method to preprocess the monitored images,using Roberts operator,Prewitt operator and Sobel operator to extract image edges separately and using Hough transformation to detect straight lines of the edge,so as to segment target images.

关 键 词：矿井 瓦斯监控 便携式瓦斯报警仪 图像处理 自动识别 边缘检测 区域分割 HOUGH变换 

分 类 号：TD712.55[矿业工程—矿井通风与安全]