核密度估计时-空域滤波红外背景抑制方法

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。

Abstract

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 filtering. Smoothing process is applied to the background of an infrared image sequence by using the kernel density estimation algorithm in spatial filtering. The probability density of the image gray values after spatial filtering is calculated with the kernel density 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 algorithm based on the nonparametric method is a satisfactory way to suppress background clutter in infrared images. The SNR is significantly improved as well.

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田岳鑫, 高昆, 刘泽文, 舒郁文, 倪国强. 核密度估计时-空域滤波红外背景抑制方法[J]. 强激光与粒子束, 2015, 27(5): 051005. Tian Yuexin, Gao Kun, Liu Zewen, Shu Yuwen, Ni Guoqiang. Temporal-spatial filtering background suppression method based on kernel density estimation[J]. High Power Laser and Particle Beams, 2015, 27(5): 051005.

核密度估计时-空域滤波红外背景抑制方法

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