[1]史晓鹏,何为,韩力群.采用Hough变换的道路边界检测算法[J].智能系统学报,2012,7(01):81-85.
 SHI Xiaopeng,HE Wei,HAN Liqun.A road edge detection algorithm based on the Hough transform[J].CAAI Transactions on Intelligent Systems,2012,7(01):81-85.
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《智能系统学报》[ISSN:1673-4785/CN:23-1538/TP]

卷:
第7卷
期数:
2012年01期
页码:
81-85
栏目:
出版日期:
2012-02-25

文章信息/Info

Title:
A road edge detection algorithm based on the Hough transform
文章编号:
1673-4785(2012)01-0081-05
作者:
史晓鹏何为韩力群
北京工商大学 计算机与信息工程学院,北京 100048
Author(s):
SHI Xiaopeng HE Wei HAN Liqun
College of Computer Science and Information Engineering, Beijing Technology and Business University, Beijing 100048, China
关键词:
道路边界检测Otsu法Hough变换智能交通计算机视觉
Keywords:
road edge detection Otsu method Hough transform intelligent transportation computer vision
分类号:
TP391.4
文献标志码:
A
摘要:
基于计算机视觉的路况信息识别是当前智能交通领域的热点课题,对道路边界的检测能够有效去除路况图像中与路况特征无关的大面积区域,是提高路况信息获取实时性的关键技术之一,提出一种适用于一般场景中直线道路和弯曲道路的边界检测算法.该算法采用直方图均衡和Otsu二值分割增强道路边界特征,使用均值滤波降噪和二值形态学方法获取特征边界,最终利用分空间的Hough变换方法实现道路边界检测.实验结果表明,该方法能够准确地检测道路边界线并进行道路区域分割,为后续的路况分类工作提供了有效保障.
Abstract:
Traffic information detection has become a hot topic in the field of computer vision and intelligent transportation systems. The detection of the road edge can effectively remove a large area which has nothing to do with traffic information in order to improve realtime traffic information detection performance. A road edge detection algorithm for straight and serpentine roads was proposed. Histogram equalization and binary segmentation by Otsu method were used to enhance the road edge features, while a mean filter and morphological binary edge were adopted to get rid of noise and obtain features. The Hough transform was used in different spaces to detect the road edge. Experimental results demonstrate that the road edges were detected accurately and the road area was extracted effectively by the proposed methods, guaranteeing the subsequent work of traffic information assorting. 

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2011-09-08.
通信作者:史晓鹏.        E-mail:davidxp87@yahoo.com.cn.
作者简介:
史晓鹏,男,1987年生,硕士研究生,主要研究方向为图像处理与模式识别.
何为,男,1953年生,高级工程师,IEEE 会员,中国人工智能学会理事、智能产品与产业工作委员会秘书长,中国计量测试学会高级会员.主要研究方向为非电量检测技术、计算机测控技术、嵌入式技术应用.主持或参与国家科技攻关、火炬计划、省部级、横向等各类科研项目30余项,发表学术论文30余篇,获国家发明专利3项.
韩力群,女,1953年生,教授,中国人工智能学会副理事长.主要研究方向为智能信息处理与图像工程技术,主持各类科研项目30余项,获国家发明专利3项、北京发明创新大赛银奖1项.发表学术论文120余篇,出版专著10部.
更新日期/Last Update: 2012-05-07