交通运输研究2016，Vol.2Issue(6)：47-53,7.DOI:10.16503/j.cnki.2095-9931.2016.06.008
引入红外图像的低能见度可视面积比检测
Low Visibility Visual Area Proportion Detection Based on Infrared Thermal Image
摘要
Abstract
Low visibility is one of the inducing factors for expressway accidents. Traditional visibility detection devices are usually erected in a complex manner, and are expensive and difficult to be popular⁃ized. In order to real-time monitoring the low visibility of whole expressway, a new detection method based on the low visibility visual area proportion of existing monitor image was proposed. Usually, the vi⁃sual scene area of image reduces with the decrease of its visibility. Therefore, according to the geometric projection relation, visibility could be estimated according to the visual area proportion of image. Mean⁃while infrared image was used as the reference of common image, which could simplify the processing al⁃gorithm, reduce the quality requirement of the common image and improve the practicality of the detec⁃tion method. Simulation experiment showed that the visual area proportion detection method of infrared im⁃age can improve the detection precision, for we only consider the low visibility in the range of 200m, which can greatly affect the driving safety of expressway, and the average error is less than 10%. Therefore, it can be used for high speed real-time monitoring of low visibility of expressway to improve traffic safety.关键词
交通安全/面积比/高速公路/低能见度/红外图像/检测Key words
traffic safety/area proportion/expressway/low visibility/infrared image/detection分类
交通工程引用本文复制引用
张晓明,叶宇轩,刘翔,邝德伟..引入红外图像的低能见度可视面积比检测[J].交通运输研究,2016,2(6):47-53,7.基金项目
江西省交通运输厅科技项目（2014C0003）；上海市科学技术委员会研究资助项目 （）
