基于最小梯度中值滤波的红外背景抑制方法

背景抑制是红外运动点目标检测的核心技术之一。目前大部分背景抑制算法是针对平缓变化的背景而设计的,对存在强起伏边缘的背景抑制效果很差.针对此问题,本文提出了一种最小梯度中值滤波算法.该算法利用边缘方向和非边缘方向梯度的差异,能最大程度地减少背景抑制结果中边缘的残差.把实际拍摄的红外图像序列与其它算法进行了实验对比,证明该算法具有背景抑制残差小、目标信噪比增益大、计算量小、便于硬件实现等优点.

Infrared Background Suppression Based on Minimum Gradient Median Filter

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.