摘要
煤矿井下环境比较恶劣,视频采集到的图像效果差,无法满足视觉观察要求,因此图像处理尤为重要。提出了一种非线性煤矿井下图像增强算法,能在平滑噪声的同时很好地保持图像细节信息。通过直观对比(算法处理后图像)和客观对比(信息熵、信噪比、DV/BV),得出这种算法与常规的均值滤波算法和中值滤波算法相比有更优秀的处理效果。
Underground environment of coal mine is very bad,the effect of video capture is poor,and it can not meet the requirements of visual observation,so image processing is particularly important.This paper proposed a nonlinear image enhancement algorithm for underground coal mine,which can smooth the noise and keep the image details well.Through visual comparison(image processed by algorithm)and objective comparison(information entropy,signal-to-noise ratio,DV/BV),it is obtained that this algorithm has better processing effect than the conventional mean filter algorithm and median filter algorithm.
作者
张聪
ZHANG Cong(Taiyuan Design Research Institute for Coal Industry,Taiyuan 030001,Shanxi,China)
出处
《能源与节能》
2018年第12期145-146,149,共3页
Energy and Energy Conservation
关键词
非线性
图像增强
随机噪声
平滑滤波
nonlinearity
image enhancement
random noise
smoothing filter
