计算机科学 ›› 2014, Vol. 41 ›› Issue (6): 317-325.doi: 10.11896/j.issn.1002-137X.2014.06.064
• 图形图像与模式识别 • 上一篇
王棚飞,刘宏哲,袁家政,陈丽
WANG Peng-fei,LIU Hong-zhe,YUAN Jia-zheng and CHEN Li
摘要： 地面交通标志检测识别是智能驾驶领域的一个研究方向,实时性、准确率是该研究的重点。图像匹配的方法是常用的模式识别方法。文中介绍了一种结合先验知识和图像匹配的地面交通标志检测识别方法。算法包括两部分:预处理和检测识别。预处理阶段包括图像压缩、感兴趣区域提取、形态学处理、中值滤波和逆透视等步骤,实现图像降噪和正畸,为检测识别做准备。检测识别阶段包括轮廓提取、面积过滤、图像匹配等步骤,目的是判断待测图像是否含有地面交通标志及其种类。实验证明,该算法实时性好、鲁棒性强、准确率高。
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