摘要
为了能为汽车实时提供前方道路信息,文中建立了直线道路边界模型,并提出了道路边缘识别算法。通过灰度化、直方图均衡化、滤波,边缘增强与二值化的处理粗略得到图像的边缘,再利用道路边界的邻域特征从图像边缘中识别出道路边界。仿真结果表明,该算法能准确识别出道路的边缘。
In order to provide the real-time information about the front road for vehicles,a boundary model for the straight road is established and a road edge detection algorithm is introduced. A rough edge region is obtained through gradation,histogram equalization,filtering operations,edge enhancement and binarization. Then road edges are detected according to the neighborhood characteristics. Simulation results show that this algorithm can detect the road edges accurately.
出处
《电子科技》
2014年第10期36-39,共4页
Electronic Science and Technology
关键词
机器视觉
智能车辆
直线模型
道路边界
边界识别
machine vision
intelligent vehicle
linear model
road edge
edge detection
