摘要
随着社会经济的快速发展,人们生活水平的大幅度提升,私家车的数量大幅度增加。受此影响,交通事故发生率也呈现出上升趋势。在对交通事故处理时,交通车辆视频图像传输技术的应用,为交通事故的有效处理提供了参考和依据,提升了交通事故处理的效率。在对交通车辆视频图像进行处理时,需要对视频图像中的高频分量进行清除,从而对信息进行实时获取。在对视频图像处理时,传统方法主要针对不同频域进行分类处理,随后实现对图像灰度值的压缩,但是在获取图像时,视频图像的精度较低,在实际应用中受到了一定的限制。本文在对交通车辆视频图像传输问题研究过程中,对传统的图像处理方法进行优化,实现图像传输的实时优化检测,从而为交通行业发展提供重要帮助。
With the rapid development of social economy,people's living standards have been greatly improved,and the number of private cars has increased significantly.Affected by this,the incidence of traffic accidents also showed an upward trend.When dealing with traffic accidents,the application of traffic vehicle video image transmission technology provides reference and basis for the effective treatment of traffic accidents,and improves the efficiency of traffic accident treatment.When processing the video image of traffic vehicles,it is necessary to clear the high-frequency components in the video image,so as to obtain the information in real time.In the video image processing,the traditional methods mainly focus on the classification of different frequency domain,and then realize the compression of the image gray value.However,the accuracy of the video image is low,which is limited in practical application.In this paper,the traditional image processing methods are optimized to realize the real-time optimal detection of image transmission in the research process of traffic vehicle video image transmission,so as to provide important help for the development of the transportation industry.
作者
谭福奎
何厚峰
姚萍
TAN Fukui;HE Houfeng;YAO Ping(School of Physics and Engineering Technology,Xingyi Normal University for Nationalities,Xingyi,Guizhou Province,562400 China)
出处
《科技创新导报》
2021年第10期44-46,50,共4页
Science and Technology Innovation Herald
基金
兴义民族师范学院2017年度教授基金项目(项目编号:17XYJS26)。
关键词
交通车辆
视频图像
图像传输
优化仿真
Traffic vehicle
Video image
Image transmission
Optimization simulation
