An infrared small and dim target detection algorithm based on the mask image

To overcome the affection of heavy clutter and dim target intensity on small target detection, a novel background prediction method is proposed. By combining the mask image and morphological filters, this method can predict the background more precisely and reduce background processing time. Finally, in terms of target detection rates and the procession time per frame, the performance comparison between the proposed method and the Top-hat filtering method is given. The experimental results indicate that this method can enhance the predicted accuracy of background, even in the low SNR (signal-to-noise rate), and is a more preferable and effective way to detect infrared small and dim targets.