摘要
随着我国城市化进程的不断加快,城市公路交通系统的压力不断加大。针对这一现状,提出了一种利用计算机视觉和图像处理技术实时检测城市快速路上的汽车目标以获取交通流量参数的方法。其中主要研究并使用了帧差法、图像分割和形态学处理等技术,最后设计了一种准确而可靠的统计算法,并将其在MATLAB/GUI上编程实现。实验结果表明,该算法对交通流量统计效果良好。
With the development of city and economy of our country, the burden of the road transportation system becomes heavier and heavier Aiming at this problem, this paper presents a method of real-time detection for the vehicle on the high way based on computer vision and image processing technology. Frame difference method, image segmentation and morphology processing method are mainly discussed and used. At last an accurate and reliable algorithm is designed and realized through programming with MATLAB/GUI the counting of traffic flow is very good. The experimental results show that tile effect of this algorithm for
出处
《自动化技术与应用》
2013年第2期49-52,共4页
Techniques of Automation and Applications
关键词
计算机视觉
图象处理技术
帧差法
形态学处理
MATLAB\GUI
computer vision: image processing technology
flame difference method
morphology processing method: MATLAB/GUI