基于MATLAB的车辆图像滤波  

Vechicle Image Denoise Based on Matlab

作　　者：陶泽明[1] 裴玉龙[1] 杜文刚[2] 

机构地区：[1]哈尔滨工业大学交通科学与工程学院,黑龙江哈尔滨150090 [2]中国工商银行黑龙江省分行,黑龙江哈尔滨150036

出　　处：《哈尔滨理工大学学报》2008年第1期18-20,28,共4页Journal of Harbin University of Science and Technology

摘　　要：研究交通事故处理过程中的立体视觉量测问题,必须首先解决图像的预处理问题,本文依据小波分形和图像滤波理论,采用Matlab语言,编写了小波滤波和常规滤波器的程序,并针对车辆图像进行了多种滤波去噪效果的对比分析,实验证明,运用二维小波去除车辆图像的噪声优于普通的滤波器处理效果,该研究方法对于交通事故中的图像处理具有重要意义.Vehicle image denoising is an essential part in the research on stereocopic vision and close-range photogrammetry in dealing with traffic collisions. Firstly, the article designs a case to analyze and compare denoising affections on different usual denoising methods by matlab, finding a proper way to solve the common questions. Consequently, another case is designed to apply the wavelet analysis reducing noise, and a better result is got than on the usual methods, which is vital in traffic safety research.

关 键 词：图像处理 图像滤波 MATLAB 小波变换 

分 类 号：U491.31[交通运输工程—交通运输规划与管理]