智能系统学报2011，Vol.6Issue(6)：526-530,5.DOI:10.3969/j.issn.1673-4785.2011.06.008
形状标记图和Gabor小波的交通标志识别
Traffic sign recognition based on shape signature and Gabor wavelets
摘要
Abstract
Traffic sign recognition provides valuable information on road conditions for intelligent vehicles. The traffic sign recognition process was outlined as follows: 1) The main colors of traffic signs were enhanced by transforming the RGB pixel values of the image and then segmented by a threshold. Noise points of the binary image were filtered by morphological image processing. 2) The signature of the region of interest ( Rol) was extracted as a shape feature, and the shape of the Rol was primarily classified by Euclidean distance. 3 ) The gray images of traffic signs was transformed into various orientations and scale wavelet images by the Gabor wavelet, and the main features were extracted by a 2-dimensional independent component analysis (2DICA) algorithm while the linear support vector machine was applied to judge the type of traffic signs. Experimental results show that the proposed algorithm may stably and effectively detect and identify the roadside traffic signs.关键词
交通标志识别/标记图/Gabor小波/支持向量机Key words
traffic sign recognition/ signature/ Gabor wavelet/ support vector machine分类
信息技术与安全科学引用本文复制引用
谷明琴,蔡自兴,何芬芬..形状标记图和Gabor小波的交通标志识别[J].智能系统学报,2011,6(6):526-530,5.基金项目
国家自然科学基金资助项目(90820302,60805027) （90820302,60805027）
国家博士点基金资助项目(200805330005) （200805330005）
湖南省院士基金资助项目(20010FJ4030). （20010FJ4030）
