核密度估计时-空域滤波红外背景抑制方法  

Temporal-spatial filtering background suppression method based on kernel density estimation

作　　者：田岳鑫[1,2] 高昆[1] 刘泽文[3] 舒郁文[2] 倪国强[1] 

机构地区：[1]北京理工大学光电成像技术与系统教育部重点实验室,北京100081 [2]华北光电技术研究所,北京100015 [3]北京控制与电子技术研究所,北京100038

出　　处：《强激光与粒子束》2015年第5期21-26,共6页High Power Laser and Particle Beams

基　　金：国家自然科学基金项目(61340018;61271427);北京市自然科学基金项目(4152045)

摘　　要：提出一种基于核密度估计的时-空域滤波算法,用于红外搜索跟踪系统图像的背景抑制。算法分为空域滤波和时域滤波两部分。在空域滤波中,采用核密度估计算法对背景进行平滑;在时域滤波中,采用核密度估计算法对经过空域滤波后的图像灰度值进行概率计算,判别属于背景残差的灰度值,然后做进一步的滤除。核方法对背景有很好的光滑性且易于计算机实现,实验表明,这种非参方法设计的时-空域滤波算法对背景杂波有非常良好的抑制效果,信噪比也得到明显提高。A temporal-spatial filtering algorithm based on kernel density estimation structure is presented for infrared image background suppression in infrared search and track system. The algorithm can be divided into spatial filtering and temporal filte- ring. Smoothing process is applied to the background of an infrared image sequence by using the kernel density estimation algo- rithm in spatial filtering. The probability density of the image gray values after spatial filtering is calculated with the kernel densi- ty estimation algorithm in temporal filtering. The background residual and blind pixels are picked out based on their gray values, and are further filtered. The algorithm is validated with a real infrared image sequence. The image sequence is processed by using Fuller kernel filter, Uniform kernel filter and high-pass filter. Quantitatively analysis shows that the temporal-spatial filtering al- gorithm based on the nonparametric method is a satisfactory way to suppress baekground clutter in infrared images. The SNR is significantly improved as well.

关 键 词：核密度估计 时-空域滤波 红外背景抑制 红外搜索跟踪系统 

分 类 号：TN911.73[电子电信—通信与信息系统]