为了提高红外小目标跟踪算法的性能和实用性,根据红外小目标的特性,选用数学形态学方法先对目标进行波门检测,依据检测结果来实现对目标的跟踪。在具体计算时,提出了一种新的形态学算子使膨胀运算和阈值分割合为一步,节约了计算时间。考虑到波门内可能出现虚警或漏警的情况,提出了有效的解决方法。最后通过实际拍摄的不同情况下的红外图像,进行了红外小目标的跟踪实验,实验结果表明了算法在实时性和准确性上都达到了很好的效果。

In order to improve performance and practicability of infrared small target tracking algorithm, based on the traits of IR small target, the mathematical morphology was adopted for detection in the target area, and target tracking was realized based on the results. In exact calculation, a new method that combining dilation operation and threshold segmentation was presented, and the time was reduced. Considering false alarm and false dismissal, effective solution was discussed here. The IR small target tracking experiments were done by real IR images taken in different situations, and the results demonstrate that the algorithms have good performance in real-time demand and veracity.