基于背景抑制的红外小目标检测方法

Background Rejection-Based Detection Algorithm for Small Targets in Infrared Images

分析了红外图像中小目标 ,噪声以及背景的特点 ,为了抑制背景从而检测出红外小目标 ,应用了最小平方中值滤波器算法和数学形态学算法 ,并和时域中值滤波器算法作了比较。仿真结果证明数学形态学算法是性能最好的算法 ,时域中值滤波器算法次之 。

The characteristics of small targets, noise and background in infrared images are analysized in this paper. In order to detect the small targets by the rejection of the background, the LMedS(Least median of squares) and the mathematic morphology are used, and compared with, the mathematic morphology and the temporal median filter. The simulation results show that the performance of the the mathematic morphology is the best, the performace of the temporal median filter ranks second, and the performance of the LMedS is the worst .