文献类型：期刊文献

中文题名：基于图像模糊度的雾含水量测量方法

英文题名：Approach of Fog Water Content Measure Based on Images Blur Degree

作者：邹荣[1];赵乐军[1]

机构：[1]华东理工大学信息科学与工程学院

年份：2007

卷号：33

期号：14

起止页码：241

中文期刊名：计算机工程

外文期刊名：Computer Engineering

收录：CSTPCD;;Scopus;北大核心:【北大核心2004】；CSCD:【CSCD2011_2012】；

语种：中文

中文关键词：图像模糊度;多次散射模型;点扩散函数;雾含水量

外文关键词：images blur degree; multiple scattering model; point spread function（PSF）; fog water content

摘要：雾含水量是研究和定义雾结构的一个重要因子,是与天气密切相关的重要气象物理量。目前国内外对雾含水量的测量主要还是采用人工采样方式,相当费时费力。该文通过建立雾中景物成像的多次散射模型,提出了利用图像模糊度测雾含水量算法,介绍了基于该算法下的全自动雾含水量测试系统的构成。仿真结果表明运用此算法能获得令人满意的结果。
The liquid water content （LWC） is a key variable in researching and defining fog structure. It is an important variable relative to weather. Currently, the method to measure the liquid water content is mainly manual sampling in China and foreign countries, which is hard and time consuming. This paper builds the multiple scattering model of imaging in fog and presents the algorithm of fog water content measure based on images blur degree. It also gives the structure of the automatic fog water content measuring system based on the algorithm. The result of simulation indicates that the algorithm can bring forward satisfactory result.