Infrared small target detection based on fusion of multiple saliency information

Abstract

To improve the detection rate of small target in infrared image, this paper proposes an infrared small target detection algorithm based on the fusion of multiple saliency information, which combines local contrast measure (LCM), curvature filtering and motion saliency. Firstly, three saliency maps of the infrared image are calculated separately to prepare for the next advantages integration. Then, to improve the contrast of the target, the LCM saliency map and curvature saliency map are filtered according to the motion saliency value. Finally, the fusion weight is determined by the background suppression factor of the saliency map so that the fusion saliency map is obtained. Experimental results show that the proposed infrared small target algorithm outperforms other comparing methods in terms of detection capability.