基于形态滤波的红外小目标检测方法

A New Method of Infrared Dim Small Targets Detection by Morphology Filtering

针对空背景下红外小目标图像信噪比低,背景和杂波干扰严重的特点,提出了一种基于数学形态学的红外小目标检测算法。算法首先利用灰度形态学Top -Hat变换,完成复杂空背景下的背景抑制和候选目标提取,然后通过开运算处理进一步去除虚假目标和噪声干扰,完成目标分割;最后结合管道滤波的方法,可快速检测出红外图像序列中的小目标信号。实验表明,该算法能够有效的提高图像信噪比,快速有效地检测出目标信号。

In the infrared imaging and tracking system, infrared grey image of dim small target is disturbed by the background and noise that results in low SNR. A new method of infrared dim small target detection based on mathematical morphology is designed. First the noise and the air background of original image are suppressed by Top-Hat transform of mathematical morphology, and the target is segmented by open processing, then the little target signal in IR can be detected with tract filter. The results show that this method can significantly enhance SNR of target, and is adaptable to real-time image processing.