基于RGB空间的车道线检测与辨识方法

doi:10.3969/j.issn.1006-2475.2014.02.020

计算机与现代化 ›› 2014, Vol. 0 ›› Issue (2): 86-90.doi: 10.3969/j.issn.1006-2475.2014.02.020

基于RGB空间的车道线检测与辨识方法

（西北工业大学自动化学院，陕西西安 710129）

收稿日期:2013-11-26 出版日期:2014-02-14 发布日期:2014-02-14
作者简介:杨益(1987-)，男，江苏盐城人，西北工业大学自动化学院硕士研究生，研究方向：视觉导航，图像处理；何颖(1983-)，男，重庆人，博士研究生，研究方向：计算机视觉，组合导航。

Lane Detection and Identification Algorithm Based on RGB Space

(School of Automation, Northwestern Polytechnical University, Xi’an 710129, China)

Received:2013-11-26 Online:2014-02-14 Published:2014-02-14

摘要/Abstract

摘要：

提出一种利用颜色信息进行车道线检测并且能够分辨黄色或白色车道线的新方法。首先，找出图像中与路面颜色差异较大并且具有合理宽度的像素段；然后在RGB颜色空间利用先验信息对像素段的颜色进行辨识；再用辨识后的像素段分别估计出黄色或白色车道线的颜色分割阈值；最后利用获取的阈值对整幅图像进行车道线检测。实验结果表明，该方法能够在复杂背景环境或路面污染等干扰条件下较好地检测出车道线并能辨识出车道线颜色。本方法简单、有效，且具有一定的鲁棒性。

关键词: 车道线检测, 车道线辨识, RGB空间, 阈值分割

Abstract: This paper proposes a new lane detection and color identification algorithm using color information. Firstly, the segments with prominent color difference and reasonable width were located. Secondly, the colors of the located segments were identified with color prior in RGB color space. Thirdly, the yellow and white color thresholds were estimated by the identified segments, respectively. Finally, the yellow and white lane markers were segmented with the thresholds. The experiments results showed that the proposed algorithm is able to estimate the thresholds for segmentation and identify the color of lane marker color and applicable in complex environments such as polluted roads or clutter background. The algorithm is simple, effective, and robust.

Key words: lane detection, lane identification, RGB space, threshold segmentation

中图分类号:

TP391.41

杨益，何颖. 基于RGB空间的车道线检测与辨识方法[J]. 计算机与现代化, 2014, 0(2): 86-90.

YANG Yi, HE Ying.

Lane Detection and Identification Algorithm Based on RGB Space

[J]. Computer and Modernization, 2014, 0(2): 86-90.

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基于RGB空间的车道线检测与辨识方法

Lane Detection and Identification Algorithm Based on RGB Space

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