摘要
以汽车车标为主要研究对象,利用机器视觉和图像处理技术建立了一种车标检测与识别系统。首先进行车标图像的采集,将采集到的图像作为该系统的测试样本和训练样本,然后利用MATLAB软件平台进行图像预处理,图像增强、图像二值化、边缘检测等,最后进行图像重构,将所有的操作进行仿真。实验结果表明,该系统精度高、耗时短、系统工作稳定。
Taking the automobile logo as the main research object,a vehicle logo detection and recognition system is established by using machine vision and image processing technology.Firstly,collect the vehicle logo image,and the collected image is used for test sample and training sample of the system.Then,use MATLAB software platform to do image preprocessing,image enhancement,image binarization,edge detection and other works.Finally,the image reconstruction is carried out and all operations are simulated.The experimental results show that the system has high accuracy,short-time and stable operation.
作者
贾尚云
高晓阳
郑博博
李红岭
杨梅
周蓓蓓
Jia Shangyun;Gao Xiaoyang;Zheng Bobo;Li Hongling;Yang Mei;Zhou Beibei(School of Mechanical and Electrical Engineering,Gansu Agricultural University,Lanzhou City,Gansu Province 730070,China)
出处
《农业装备与车辆工程》
2022年第8期36-38,共3页
Agricultural Equipment & Vehicle Engineering
基金
甘肃农业大学混合课程建设项目“虚拟仿真实验教学项目”(GSAUBC2020A08)
电气专业教学团队项目(GAUJXTD-201904)
新工科研究与实践项目(GAUXGKYJSJ-202007)
甘肃农业大学校级虚拟仿真实验教学项目。
关键词
机器视觉
车标检测
车标识别
MATLAB
machine vision
vehicle logo detection
vehicle logo identification
MATLAB