微型机与应用2012，Vol.31Issue(15)：36-38,42,4.
道路交通标志检测分类方法的研究
Study on road traffic sign detection and classification
摘要
Abstract
This paper studies on the problem of road traffic sign detection. For the weakness of color positioning, it proposes a traffic sign detection method based on shape positioning and color discrimination. Firstly, it turns original RGB image to HSV color space, and uses Canny operator on saturation component for edge detection. It calculates the shape parameters （degree of circularity, rectangular degree and the extended regular trianglar degree） to judge the shape of edge and locate the position of signs. Then it uses the modified HSV color space partition model to judge color for classification and removes non-signs in the process. Experimental results prove that the method is effective in detection and classification.关键词
HSV色彩空间/饱和度/Canny算子边缘检测/分割模型/分类Key words
HSV color space/saturation/Canny edge detection/segmentation model/classification分类
信息技术与安全科学引用本文复制引用
徐华青,刘秉瀚..道路交通标志检测分类方法的研究[J].微型机与应用,2012,31(15):36-38,42,4.基金项目
基金项目：福建省自然科学基金项目 （）
