基于最小梯度中值滤波的红外背景抑制方法  

Infrared Background Suppression Based on Minimum Gradient Median Filter

作　　者：孙立辉[1] 何永强[1] 陈娅冰[1] 王永仲[1] 

机构地区：[1]军械工程学院

出　　处：《红外》2007年第12期12-16,共5页Infrared

基　　金：国家863资助项目

摘　　要：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.Background suppression is one of the key technologies of motive infrared point target detection. 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.

关 键 词：点目标 背景抑制 最小梯度中值滤波 

分 类 号：TN215[电子电信—物理电子学]