The Analysis of Infrared Small Target Tracking Based on Mathematical Morphology

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.