针对复杂背景下红外运动小目标的检测和跟踪存在的难点,提出了基于SUSAN检测思想的滤波方法。该方法是通过构建局部区域的奇异性函数来计算奇异度的,并借鉴Wiener滤波的思想,由最小绝对差确定出灰度差阈值。该滤波方法达到了抑制背景、提高信噪比的目的。 Aiming at the difficulty of detection and tracking of infrared moving small targets under complex background, a filtering method based on SUSAN detection idea is proposed. The method calculates the singularity by constructing the singularity function of the local region, and draws on the Wiener filter idea, and determines the gray level difference threshold from the minimum absolute difference. The filtering method achieves the purpose of suppressing the background and improving the signal-to-noise ratio.