摘要
煤岩图像识别是实现煤矿井下采煤工作面无人化的基础,为解决煤矿井下煤岩图像识别问题,本文研究了将收集到的煤岩图像模拟不同程度粉尘的影响,运用噪声均值滤波算法进行处理。实验结果表明:噪声均值滤波算法能实现一定程度上的图像去噪。
image recognition of coal and rock is the basis of realizing unhumanized mining face in underground coal mine.In order to solve the problem of image recognition of coal and rock in underground coal mine,this paper studied the influence of different degree of dust on the collected coal and rock images,and applied the noise mean filter algorithm to deal with it.Experimental results show that the noise mean filter algorithm can achieve image denoising to some extent.
出处
《科学技术创新》
2020年第9期28-29,共2页
Scientific and Technological Innovation
关键词
图像降噪
煤岩图像
Image noise reduction
The coal rock image