摘要
应用形态学滤波算法获得红外图像的背景 ,利用局域窗口估计的噪声均值和方差对噪声进行归一化 ,将归一化图像在时域上构成组合帧 ,然后在组合帧内对目标进行统计检测 ,分析得到了目标及噪声在组合帧中的统计分布 .针对噪声和目标幅值的不同分布特性 ,进一步对投影算法进行了改进 ,提高了投影算法的信噪比 .实际红外图像仿真表明 ,该算法可以成功检测信噪比为
The infrared image background is obtained by morphological filtering, and the infrared images are nomalized using the estimated noise mean and variance in a local window. Composite frame is formed by normalized image dara, and target detection is performed on the composite frame. Thus, target and noise statistics in a composite frame are obtained. Considering the different distribution of noise and target intensity, the projection algorithm is further modifed to impove its signal-to-noise ratio. Simulations of real infrared images proved that the modified projection algorithm can successfully detect targets with SNR equaling 2.
出处
《红外与毫米波学报》
SCIE
EI
CAS
CSCD
北大核心
2003年第2期96-100,共5页
Journal of Infrared and Millimeter Waves
基金
国家 8 63计划 (批准号 2 0 0 1AA135 0 91)
上海市科技发展基金 (批准号 0 15 115 0 38)~~
