计算机与数字工程2018，Vol.46Issue(6)：1222-1226,5.DOI:10.3969/j.issn.1672-9722.2018.06.034
基于感兴趣区域和HOG-CTH特征的交通标志检测
Traffic Sign Detection Based on Regions of Interest and HOG-CTH Features
孙露霞 1张尤赛 1李永顺 1张硕1
作者信息
- 1. 江苏科技大学电子信息学院 镇江 212003
- 折叠
摘要
Abstract
A traffic sign detection algorithm based on the regions of interest and Histogram of Oriented Gradient and Census Transform Histogram is proposed. Firstly,the color threshold segmentation is performed in the HSV color space,then a series of morphological processing is performed on the segmented binary image to obtain the regions of interest,finally,the HOG-CTH fea?tures of the regions of interest are extracted,and the support vector machine(SVM)classifier is used to carry out traffic sign train?ing and detection.Firstly,the features of the Histogram of Oriented Gradient(HOG)and the Census Transform Histogram(CEN?TRIST/CTH)are extracted respectively in the stage of feature extraction. Then the CTH feature vector is refined.Finally,HOG and sparsed CTHfeatures are combined. The experimental results show that the method has good robustness and can detect the traffic signs quickly and accurately.关键词
交通标志检测/感兴趣区域/方向梯度直方图/统计变换直方图/支持向量机Key words
traffic sign detection/regions of interest/HOG/CTH/SVM分类
信息技术与安全科学引用本文复制引用
孙露霞,张尤赛,李永顺,张硕..基于感兴趣区域和HOG-CTH特征的交通标志检测[J].计算机与数字工程,2018,46(6):1222-1226,5.
