Infrared Background Suppression Based on Minimum Gradient Median Filter
基于最小梯度中值滤波的红外背景抑制方法

Background suppression is one of the key technologies of motive infrared point target detec- tion.At present,most background suppresion algorithms are designed for smoothly changed background and their suppresion effectiveness for roughly fluctuant background is very poor.To solve this problem, a minimum gradient median filter algorithm is proposed in this paper.Because the gradient difference between edge direction and non-edge direction is considered in this algorithm,the residual edge error in the background suppression result can be reduced maximally.The new algorithm is compared with other algoithms in a series of experiments.The experimental results show that this algorithm has the advantages of low residual error,high SNR,low calculation quantity and easy hardware implemention.