基于粗糙集理论的矿井视频监控图像应用

Based on the Rough Set Theory to Mine Video Monitoring Image Application

为了解决目前由于环境恶劣,光线弱,矿尘大等因素的影响,使得矿井视频监控所拍摄到的图像模糊不清,利用粗糙集划分子图,并增强其所有子图的对比度的方法来增强视频中的帧图像效果,从而使新的视频图像更加清晰;将此方法应用到矿井视频监控中,同时对这一运用作进一步阐述与展望。

In order to solve the present due to harsh environment, the light is weak, the dust and other factors make mine video monitoring captured images blurred, puts forward using rough set partition the image with all sub-images of contrast enhancement method to enhance the video frame image, thereby making the new video images clearer. This method can also be applied to mine video monitoring, at the same time, the use of further elaboration and prospect.