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基于彩色图像的非结构化道路检测
引用本文:管琰平,贺跃,刘培志,吕琳. 基于彩色图像的非结构化道路检测[J]. 计算机应用, 2005, 25(12): 2931-2934
作者姓名:管琰平  贺跃  刘培志  吕琳
作者单位:北京理工大学,信息科学技术学院,北京,100081
摘    要:提出一种基于彩色图像的非结构化道路检测算法。首先将整幅图像划分为均匀的方块,再依据假设的道路区域提取出的道路特征信息将方块分类;对于包含道路边界的方块区域内部的像素点,采用自动阈值分割方法将其分为道路区域的点和非道路区域的点;最后去除道路内部的斑点以及道路外部的非连通区域。该方法可以避免对所有像素点逐个分析,运算量小,检测速度快,基本满足实时性要求,具有一定的抗阴影和水迹的能力。

关 键 词:道路检测 图像处理 辅助驾驶
文章编号:1001-9081(2005)12-2931-04
收稿时间:2005-06-16
修稿时间:2005-06-162005-08-30

Lane and road detection based on colorful image
GUAN Yan-ping,HE Yue,LIU Pei-zhi,Lü Lin. Lane and road detection based on colorful image[J]. Journal of Computer Applications, 2005, 25(12): 2931-2934
Authors:GUAN Yan-ping  HE Yue  LIU Pei-zhi  Lü Lin
Affiliation:School of Information Science and Technology, Beijing Institute of Technology, Beijing 100081, China
Abstract:A new method of structureless road detection based on colorful image was presented. The image was first divided into several small foursquare areas. And then, the characteristic information of road was gotten from the area which is assumed to be the road area. According to these information, the small foursquare areas could be classified. Using the method of self-motion threshold segmentation, each of the foursquare areas which include the shoulder of a road, were segmented into the road area and the other area. Lastly, the spots inside the road and the disconnected areas outside the road were eliminated. This method avoids analyzing each pixel of image. It performs with less calculation and higher speed, and satisfies robust real-time basically. It also resists the effect of shadows and water marks.
Keywords:road detection   image processing   driver assistance
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