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基于bp神经网络的车牌识别系统 神经网络部分训练有待提高-The design of intelligent transportation systems for applications such as electronic toll,traffic flow analysis,speed Limit and red light violation enforcement has been attracted an increasing attention from researchers.I
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车辆类型识别，简单的车辆模型识别技术，通过交通灯来检测一条道路上车辆的多少-trafficpatterns- a simple model of vehicular traffic on four roads all leading to an intersection controlled by a traffic light. It turns green for each of the four paths with specified durations. Tweak the traff
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Automatic Vehicle Identification (AVI) has many
applications in traffic systems (highway electronic toll collection, red
light violation enforcement, border and customs checkpoints, etc.).
License Plate Recognition is an effective form of AVI s
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利用matlab实现交通灯模糊控制控制系统的仿真-Using matlab realize the traffic light control system Fuzzy Control Simulation
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this source code in matlab and the code is about how to read traffic ligth sign -this is source code in matlab and the code is about how to read traffic ligth sign
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matlab 实现红绿黄交通信号灯的识别检测，很容易理解，很适合新手学习-Recognition and detection of Matlab implementation of green and yellow traffic signal light, easy to understand, very suitable for beginners to learn
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this project count the number of vehicles in the road with matlab software. you can use this program in management of traffic control and timing of the traffic light.
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trafficlight fuzzy controller with matlab
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利用matlab提取红绿灯的二值图像！！！！！！(Extract the two value image of the traffic light.)
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将亮的红绿灯圈出来_并在圈内显示红绿灯颜色
图像找到红绿灯位置_判断红绿灯哪个亮
指定位置_最大灰度值_判断亮灭(Circle the bright traffic lights _ and display the traffic lights in the circle
Image find traffic light position _ judge which light is green
Specify position _ maximum gray value _ judgm
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交通信号灯的识别，可以测试不同颜色的交通灯，效果还行(traffic light detection MATLAB)
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该课题为基于MATLAB bp神经网络的雾霾天气下交通标志的识别系统。主要分两步骤，一是进行图像去雾，采用暗通道的方法获取光透射率，从而去除雾霾。得到清晰的图片后，利用颜色的方法进行交通标志的定位，众所周知，交通标志基本是红，蓝，黄三色组成，根据RGB不同组合可以定位到不同颜色，因为存在误差，所以需要借助形态学相关知识，将得到的误干扰面积去除，从而实现精准定位。定位后，在原图基础上进行分割出彩色图标，利用bp神经网络方法，进行训练，识别，从而得出结果。本设计配有一个GUI可视化界面，操作简单容易
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