一种基于邻域滤波的星空图像背景杂波抑制算法

摘要

In the processing of the star image, the detection and high precision localization of the centroide of the weak small targets were the key issue. An algorithm was presented to keep the edge of of the targets and filtrate the background and noise. There are three steps to achieve it. Firstly, the least square matching was used to get the mean and standard deviation of the image background. Secondly, the adjoining domain filter was used to divide the star and GEO targets from the background clutter. At last, the low gray pixels of the edges of the targets which below a threshold were filtrated. After these three steps, the edge of the targets was kept fully and at the same time, the background and noise were filtrated furthest. Because of the small adjioning domain and the simple computation, this algorithm has good realtime character and engineering practicablity.%针对空间图像弱小目标检测和质心高精度定位问题,提出一种能最大限度保持目标边缘的背景杂波抑制算法.首先用最小二乘拟合估计背景均值和方差,再通过四邻域滤波区分背景和目标,最后通过阈值分割将目标边缘中过小像素滤除,在保留完整目标边缘的同时最大限度抑制了噪声,由于邻域面积较小且运算量相对较小,该算法具有很好的实时性和工程实用性.