科技创新与应用2024，Vol.14Issue(19)：35-38,42,5.DOI:10.19981/j.CN23-1581/G3.2024.19.008
雾霾天气下交通信号灯的识别
摘要
Abstract
In order to solve the problems of low location accuracy of traffic lights and uneven brightness during image enhancement in haze weather,an improved Multi-Scale Retinex with Color Restoration(MSRCR)weather signal recognition algorithm based on color restoration is proposed in this paper.Firstly,the improved MSRCR algorithm is used to preprocess the foggy image to correct the brightness of the image and enrich the image details;then the Maximally Stable Extremal Region(MSER)algorithm and the backplane information of the signal lamp are used to determine the position of the signal l finally,the location area is converted to the HSV space for signal light recognition.The results show that this method can effectively locate and identify traffic lights under haze conditions.关键词
雾霾/图像增强/最大稳定极值区域/交通信号灯识别/MSRCR算法Key words
haze/image enhancement/maximum stable extreme value region/traffic light recognition/MSRCR algorithm分类
计算机与自动化引用本文复制引用
李慧淼,方振国..雾霾天气下交通信号灯的识别[J].科技创新与应用,2024,14(19):35-38,42,5.基金项目
安徽省提升专业服务十大新兴产业项目(2021fwxxcy039) （2021fwxxcy039）
安徽省质量工程项目(2020jyxm1668) （2020jyxm1668）
安徽省基层教研室示范项目(2020SJSFJXZZ350) （2020SJSFJXZZ350）
