摘要
雾环境会对目标识别能力产生较大的影响,使人眼和图像系统无法准确识别信息,为人们的生活和工作造成不便。因此,研究雾环境中雾浓度对图像识别清晰度的影响,对于解决浓雾环境下的目标识别问题具有参考价值。本文在实验室模拟雾环境,通过拍摄获取图像信息,研究了目标图像清晰度与雾浓度之间的变化关系。改进了以往实验中使用照度计比值法测量雾浓度的方法,运用粉尘仪测量了雾浓度,并用图像标准偏差定义了图像清晰度,可为后续实验的研究提供数据基础。
Fog environment has a great impact on the ability of target recognition,which makes the eyes and image system unable to recognize information accurately,and causes inconvenience to people’s life and work.Therefore,the study of the influence of fog concentration on image recognition clarity in fog environment can provide a reference for solving the problem of target recognition in fog environment.In this paper,we simulate the fog environment in the laboratory and acquire the image information by taking pictures to study the relationship between the sharpness of the target image and the fog concentration.This paper improves the method of measuring fog concentration by using illuminometer ratio method in previous experiments,using dust meter to measure fog concentration,and using image standard deviation to define image clarity,which can provide data basis for subsequent experimental research.
作者
崔刚刚
徐安恬
周小丽
CUI Ganggang;XU Antian;ZHOU Xiaoli(Department of Light Source and Illuminating Engineering,Fudan University,Shanghai 200433,China;Engineering Research Centre of Advanced Lighting Technology,Ministry of Education,Shanghai 200433,China)
出处
《照明工程学报》
2020年第3期31-37,共7页
China Illuminating Engineering Journal
关键词
雾
数字图像
标准偏差
交通安全
照明
fog
digital image
standard deviation
traffic safety
lighting