在红外成像制导系统中,运动小目标易受到背景和噪声的严重干扰,从而导致较低的信噪比,给目标检测带来了难度。为此,我们首先使用基于Top-Hat变换的数学形态学滤波对红外数字图像进行背景抑制。进而对经过黑、白Top-Hat变换后的图像求取并集,然后,通过自适应门限分割得到小目标。试验结果表明该方法在信噪比接近2的时候仍能够得到较好的目标检测效果。 In the infrared imaging guidance system, small moving targets are easily disturbed by the background and noise, resulting in a lower signal-to-noise ratio, which makes the target detection more difficult. To this end, we firstly use the morphological filtering based on Top-Hat transform to suppress the background of infrared digital images. Then the union of the images after the black-white Top-Hat transform is obtained, and then the small target is obtained through the adaptive threshold segmentation. The experimental results show that this method can still get good target detection effect when the SNR is close to 2.