基于多小波增强的雾天运动目标跟踪技术  

Tracking technology of moving target in foggy weather based on multi-wavelet enhancement

作　　者：张肃[1] 徐春云[1] 王文生[1] 

机构地区：[1]长春理工大学现代光学测试技术研究室,吉林长春130022

出　　处：《红外与激光工程》2014年第2期625-632,共8页Infrared and Laser Engineering

基　　金：总装备部预研局基金

摘　　要：在雾天等能见度极低的天气环境下应用联合变换相关器对运动目标进行跟踪识别,针对目标由于灰度对比度极低、能见度差及环境中背景噪声干扰所引起的低识别率问题,提出了一种基于多小波增强的预处理方法,该方法在多小波变换优点的基础上,根据分解后系数的不同特点,采用不同方法分别增强高、低频系数,使处理后的图像在不失真的同时,对比度和目标边缘同时增强,且背景噪声得以抑制。对模拟雾天环境下拍摄的大量运动目标进行光学相关实验,结果表明:该方法能有效提高在雾天天气环境下运动目标的跟踪效率,验证了算法的可行性。Joint transform correlator （JTC） was applied to track the moving target in foggy weather or the other low visibility environment, to solve the low recognition ratio problem caused by low contrast and low visibility characteristic of the target and the background noise interference in this environment, a pre-processing method based on multi-wavelet enhancement was applied, it can use different methods to process the high and low frequency coefficients according to the different feathers of the decomposition coefficients on the basis of the multi-wavelet transform merits, which can make the processed image undistorted, simultaneously enhance the contrast and the target edge, and suppress the background noise. The optical correlation experiments on a large number of moving targets captured in a simulation fog environment show that this method can effectively enhance the efficiency of the moving target tracking in foggy weather environment and verify the feasibility of this algorithm.

关 键 词：运动目标跟踪 多小波增强 联合变换相关器 雾天环境 低对比度 背景噪声干扰 

分 类 号：O438.2[机械工程—光学工程]