自然场景中道路交通标志形状的检测与校正

doi:10.3969/j.issn.1006-2475.2016.02.002

计算机与现代化

自然场景中道路交通标志形状的检测与校正

南京航空航天大学计算机科学与技术学院，江苏南京211106

收稿日期:2015-10-09 出版日期:2016-03-02 发布日期:2016-03-03
作者简介: 潘铭星(1991-),男（白族）,云南大理人,南京航空航天大学计算机科学与技术学院硕士研究生,研究方向：计算机视觉；孙涵(1978-),男,副教授, 博士,研究方向：计算机视觉，数字图像处理。
基金资助:
国家自然科学基金资助项目(61203246)

Detection and Correction of Traffic Signs Shape in Nature Scene

College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China

Received:2015-10-09 Online:2016-03-02 Published:2016-03-03

摘要/Abstract

摘要： 道路交通标志的自动识别可以应用于车辆的自动或半自动辅助驾驶系统中，为车辆驾驶提供对周围环境的理解。道路情况的复杂性使得交通标志的背景很复杂，加之光照条件的变化以及车辆运行过程中的抖动等，这些都会导致交通标志失真及变形。本文提出一种快速有效的交通标志形状检测及校正算法，先结合颜色和形状信息，有效定位道路标志位置，然后再利用透视变换校正道路标志。实验结果表明，该方法对光照具有很好的鲁棒性，而且能很好地处理相机拍摄角度引起道路标志在图像中的形变问题。

关键词: 交通标志, 颜色和形状, 图像校正, 透视变换

Abstract: The automatic recognition of traffic signs can be applied to the automatic or semi-automatic auxiliary driving system which can provide the information of surrounding road conditions to the driver. The traffic signs always suffer distortion and deformation problem because of the complexity of road conditions, the changing illumination conditions and the vibrating of car. In this paper, a fast and efficient algorithm is proposed which can locate the position of traffic signs based on the color and shape information, and the traffic signs can be corrected using perspective transformation. Experiment results show that the algorithm is of a good robustness to illumination, and can overcome the distortion problem caused by the unsuitable camera angle.

Key words: traffic signs, color and shape, image correction, perspective transformation

潘铭星,孙涵. 自然场景中道路交通标志形状的检测与校正[J]. 计算机与现代化, doi: 10.3969/j.issn.1006-2475.2016.02.002.

PAN Ming-xing, SUN Han. Detection and Correction of Traffic Signs Shape in Nature Scene[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2016.02.002.

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自然场景中道路交通标志形状的检测与校正

Detection and Correction of Traffic Signs Shape in Nature Scene

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