LI Shi-guang, ZHANG Xiao-jing, GAO Xiang, SUN Hong
(College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266590, China)
Abstract： In view of the images collection and processing problems of the smart car camera, the paper introduces a method which deals with field and line synchronization signal separation and binarization processing of the video signal collected from track fields, and which is capable to extract and position black border trajectory images effectively. According to the experiment results of the method, the camera images can be collected and processed effectively, and the accurate image information can be provided for the smart cars to travel along the track. The method has the advantages of being easy to use, strong adaptability, ideal performance and high practical value. On the basis of advantages the method is of high practical value in smart car races.
Key words： smart car camera； black-and-white image; signal separation; binarization processing
CLD number： TP751 Document code： A
Article ID： 1674-8042(2014)02-0023-04 doi： 10.3969/j.issn.1674-8042.2014.02.004
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智能车摄像头黑白图像处理方法的研究
李世光， 张晓静， 高翔， 孙鸿
(山东科技大学 电气与自动化工程学院, 山东 青岛 266590)摘要:本文就智能车摄像头的图像采集与处理问题， 提出一种对所采集赛道的视频数据进行场、 行同步信号分离、 二值化处理、 有效提取并定位黑色边界轨迹的方法。 实验证明， 这种方法能够对摄像头图像进行有效采集、 处理， 可准确提供智能车沿轨道行驶的图像信息。 试验表明该方法应用简单， 适应性强， 效果理想。 在智能车比赛等应用方面， 也具有较高的实用价值。
关键词:智能车摄像头； 黑白图像； 信号分离； 二值化处理
引用格式：LI Shi-guang, ZHANG Xiao-jing, GAO Xiang, et al. Research on black-and-white image processing method of smart car camera. Journal of Measurement Science and Instrumentation, 2014, 5(2): 23-26. [doi: 10.3969/j.issn.1674-8042.2014.02.004]
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