一种矿井监控视频图像增强处理方法研究

摘要

Mine monitoring images often have lots of noise , low contrast ratio and more atomization phenomenon due to more dust , low illumination level and non uniform illumination under the coal mine .For these problems , an image enhancement method of partial differential equation and guide filtering algorithm is presented .The method de noises the monitor image by constructing a partial differential equation and then makes light and dark enhancement processing for the image using the guide filtering algorithm .Regarding Majiliang mine monitoring images of Shanxi Datong coal mine group as the research object , it shows that the method can effectively remove noise and atomization phenomenon of the image and improve the overall quality of the image which is conducive to later safety monitoring .%由于井下粉尘多，照度低，且光照不均匀，矿井监控图像往往噪点多，对比度低，容易产生雾化现象。针对上述问题，提出一种基于偏微分方程和引导滤波算法的图像增强方法。该方法通过构造偏微分方程对监控图像进行去噪；然后，利用引导滤波算法对去噪图像进行明暗增强处理。以山西省同煤集团马脊梁矿井监控图像为研究对象进行实验，结果表明，该方法能有效地去除监控图像的噪声和雾化现象，提升图像的整体质量，利于后期的安全监测。