摘要
数字图像处理在智能交通系统中占据着重要的位置,提高车牌车型识别、减小图像存储空间、优化图像传输是推动ITS发展的一些主要技术。通过分析车牌识别过程,以及大津法阈值分割的原理及其特点,提出运用该方法对字符分割部分进行优化,加快识别速度;研究了奇异值分解的原理,并将其用在ITS图像压缩中,在保证图像质量的前提下提高压缩比;根据RTCP模块反馈的网络状态等级,自适应调整图像格式和帧率,从而有效的节省传输带宽,达到根据网络情况自适应地提供多种QoS服务等级的目的,而且优化了视频图像质量,满足用户多方面的要求。
Digital image processing in intelligent transportation systems occupy an important position, Improving the vehicle license plate recognition, reducing the space of image storage, optimizing image transmission is to promote the development of some of the ma- jor ITS technology. By analyzing the process of license plate recognition, as well as the threshold Otsu method Segmentation of the prin- ciple and features of proposed methods are applied to character segmentation part of the optimization, speed u Pthe speed of recogni- tion; study the singular value decomposition principle, and it is used in ITS image compression, in image quality under the premise of ensuring increased compression ratio ; according to the RTC Pmodule feedback network state level, adaptive adjustment of image format and frame rate, thus effectively save transmission bandwidth, adaptively based on network QoS service level to provide a variety of purposes, and optimizes the video image quality to meet a various of demands of customers.
出处
《微计算机应用》
2010年第4期69-72,共4页
Microcomputer Applications
基金
陕西省教育厅科研计划资助项目(09JK433)
关键词
车牌识别
阈值分割
图像压缩
带宽
License Plate Recognition, threshold segmentation, image compression, bandwidth
