基于自适应阈值与圆形相似度的禁令标志检测  

Prohibition signs detection based on adaptive threshold and circle similarity

作　　者：欧阳维力[1] 宋晓琳[1] 张伟伟[1] 

机构地区：[1]湖南大学汽车车身先进设计制造国家重点实验室,湖南长沙410082

出　　处：《工程设计学报》2014年第5期499-504,共6页Chinese Journal of Engineering Design

基　　金：国家自然科学基金资助项目(51175159);湖南省科技计划项目(2013WK3024);湖南省研究生科研创新项目(CX2013B146)

摘　　要：交通标志检测是影响交通标志识别速度和正确率的重要因素.采用一种HSI自适应阈值粗分割方法获取场景图像的红色二值图,克服固定阈值分割算法受光照等外界因素影响较大的缺点.然后进行连通区域标记,排除了部分非禁令标志红色区域,并对多个相连禁令标志作有效分割,提取出禁令标志的候选区域.最后,通过分析候选区域外边缘的圆形相似度参数,确定了禁令标志区域.复杂道路环境下的场景实验表明:本方法具有较高的鲁棒性.T raffic sign detection is a key factor affecting the speed and accuracy of traffic sign auto-matic recognition .Fixed threshold segmentation result was easily influenced by external factors such as change of light ,so an adaptive threshold segmentation method based on HSI color space was firstly used to overcome the drawback .Then regions except some non-sign regions was la-beled ,regions with multiple connected signs was segmented and candidate regions were extrac-ted .Lastly ,the prohibition signs regions were determined through the analysis of the circle simi-larity parameter of external edges in the candidate regions .High robustness is demonstrated by simulation experiment under complex road environment .

关 键 词：自适应阈值分割 边缘提取 圆形检测 交通标志检测 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]