基于数学形态学的红外运动小目标识别算法研究

Small moving infrared target identification algorithm based on mathematical morphology

针对红外成像制导跟踪的目标具有低信噪比、且背景和噪声干扰信息严重的特点,设计了一种基于数学形态学的红外灰度图像小目标检测识别算法。实验表明,该算法能够大大提高目标的信噪比,去除背景和噪声干扰,保留目标的灰度信息,满足系统的实时性要求,是一种有效的红外灰度图像小目标检测算法。

In target tracking of infrared imaging guidance, the target has the characteristics of low signal - noise ratio（SNR）, serious background and noise interference. The authors presented a small - target detection/identification algorithm of infrared gray images based on mathematical morphology. Experiments show that the algorithm can greatly improve the SNR of the target, reject background and noise interference, retain the useful gray information of target, satisfy real - time requirement of the system. It is an effective small - target detection algorithm of infrared gray image.