摘要
随着机动车数量的增加,交通管理、公路收费的工作量和工作难度日益加大,因此车型自动识别在公路交通管理和自动收费中有重要的应用价值。文中主要提出了运用模糊理论建立隶属度函数对提取了特征数据的车辆进行模式识别的方法,该方法能识别常见的轿车、越野车、货车和客车。并给出了识别过程实现的程序框图。该方法结构简单而且识别效率较高,速度较快,相比神经网络的方法更容易实现,应用于实际作业将会明显减少人员的工作量。
With the increasing of vehicle, the workload and the difficulties of the traffic magement and road tolling become harder and harder day by day,so the automatic recognition of automobile type has an important applied value in the traffic management system and road auto-tolling system. This paper, based on constructing membership functions of fuzzy theory, mainly proposes a method of pattern recognition on vehicle by extracting characteristic data. The method can recognize normal car,jeep, truck and bus, then give the program black diagram of realizing the process of recognition. This method has the characters of better recognition efficiency and faster recognition. Compared with the method of neural network,it is much easier to realize. If apply it to practice,it will evidently reduce the worker＇s work- load,and the applied future is capacious.
出处
《计算机技术与发展》
2006年第3期47-49,共3页
Computer Technology and Development
基金
湖南省教育厅科研资助项目(04C509)
关键词
模式识别
模糊理论
车型模式识别
pattern recognition
fuzzy theoretics
pattern reeognition of automobile
