基于综采工作面视频监控的图像增强方法

Image enhancement methods based on video monitoring of fully mechanized mining face

针对煤矿综采工作面设备与人员异常状态全方位视频监控和低照度环境下的图像不清晰问题,构建了一种全方位的综采工作面视频监控方案和运用限制对比度自适应直方图均衡方法对图像进行增强;在综采工作面每间隔5个支架安装3台矿用云台摄像仪,全方位监控设备和人员异常状态;运用限制对比度自适应直方图均衡方法,通过设定阈值来限制直方图的分布,以避免过度增强,并通过双线性插值来去除分块处理所导致的块边缘过渡不平衡效应;运用对比度拉伸、伽马变换、直方图均衡和限制对比度自适应直方图均衡的图像增强方法对煤矿井下图像进行增强对比验证。结果表明:限制对比度自适应直方图均衡方法增强效果最佳,实现了煤矿井下综采工作面图像清晰显示。

Aiming at the problem of all-round video monitoring of equipment and personnel abnormal conditions in fully mechanized coal mining faces and unclear images in low-light environments, an all-round video monitoring scheme is constructed and an image enhancement method with limited contrast and adaptive histogram equalization is applied. 3 sets of mine PTZ cameras are installed on every 5 brackets in the fully mechanized mining face in order to all-round monitor the abnormal state of equipment and personnel. In the limited contrast and adaptive histogram equalization method, the distribution of histograms is limited by setting thresholds to avoid excessive enhancement, and double linear interpolation is used to remove the unbalanced effect of block edge transition caused by block processing. The image enhancement methods of contrast stretching, gamma transformation, histogram equalization, and limited contrast adaptive histogram equalization are used to perform enhanced contrast verification on images of coal mines. The results indicate that the enhancement effect of limited contrast and adaptive histogram equalization method is the best, and the images of fully mechanized mining face in underground coal mine are clearly displayed.