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