海空复杂背景中基于自适应局部能量阈值的红外小目标检测

DETECTING INFRARED SMALL TARGETS BASED ON ADAPTIVE LOCAL ENERGY THERSHOLD UNDER SEA-SKY COMPLEX BACKGROUNDS

自适应Butterworth高通滤波是一种有效的海空复杂背景下红外小目标检测方法,但其在序列图像检测中不可避免地存在虚警。该研究通过估计因前后帧间不同截止频率导致Butterworth高通滤波后红外图像中小目标局部能量值的变化情况,可实现对滤波后图像中小目标检测阈值的自适应调整。实验结果表明该算法不仅可很好解决上述虚警问题,而且对跟踪过程中可能出现的目标消失或背景突然变化的情况也有良好的适应性。

The adaptive Butterworth high pass filter （BHPF） is an effective method for detecting infrared small targets under sea-sky complex backgrounds. However, false alarms will inevitably exist when this approach is used to detect infrared video sequences images. Through estimating the local energy difference of small target regions in the filter images, which is directly caused by the different cutoff frequencies of BHPFs in consecutive two frames, an adaptive method for conducting the detection threshold of small targets in the filtered images was proposed here. Experimental results confirm that our algorithm can not only solve the problem of false alarms mentioned above, but also is effectively adapted to the conditions that the target is temporarily lost or the backgrounds are suddenly changed.