自适应复杂天气的车牌定位方法  

Adaptive license plate location in complex weather

作　　者：于明[1] 路倩倩[1] 刘玉菲[1] 王妃 

机构地区：[1]河北工业大学计算机科学与软件学院,天津300401

出　　处：《计算机工程与科学》2014年第2期292-297,共6页Computer Engineering & Science

基　　金：河北省科技支撑计划资助项目(11213518D)

摘　　要：针对传统的车牌定位算法受天气、光照影响而造成的低定位率问题,提出了一种自适应的车牌定位算法。算法根据车牌颜色特征和图像清晰度判断不同天气及对比度,利用小波系数调整法调整图像对比度,最后利用垂直投影和模板匹配相融合的方法进行车牌定位。所提出的定位算法具有广泛的适应性和较高的车牌定位率,可以在晴天、阴雨天、雾天、傍晚等多种不同光照条件下,对不同对比度的图像进行车牌定位。实验结果表明,该定位方法的车牌平均定位率达到93.4%。According to the problem that the traditional license plate algorithms have low location rate when the images are collected in the changing weather or insufficient light,an adaptive license plate location algorithm is proposed.The algorithm determines the different weather and the image contrast by the color characteristics and image definition.The wavelet transform coefficients are used to reduce noise and stretch the contrast,achieving the effect of image enhancement.At last,it combines vertical protection and template matching algorithms to locate the license plate.The tests show that the use of the algorithm can effectively remove the noise,and solve the different-contrast license plate location in the sun,rain,fog and dusk conditions.The average rate of license plate location is 93.4%.

关 键 词：对比度 色彩特征 车牌定位 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]