Target Registration Based on Fusing Features of Visible and Two Wave Bands Infrared Images

Abstract

In order to register the same target in images from different sources to improve the accuracy of target recognition of multi-source images, based on the principle that the same target has the highest similarity among targets in these images, this paper proposes a new target registration algorithm by fusing features of Visible (VIS), Long Wave Infrared (LWIR) and Middle Wave Infrared (MWIR) images, which registers the same target in these images by calculating the targets similarity in different source images. Firstly, the similarity between targets in LWIR and MWIR images is calculated by using the improved structural similarity. Then, the similarity between targets in VIS and LWIR images is calculated by using Hu invariant moment feature and cosine similarity. Finally, the similarity among targets in VIS, MWIR and LWIR images is calculated by fusing these two kinds of target similarity, so that target registration of these three-source images is realized. Experimental results show that the proposed algorithm has high correct rate and accuracy of target registration. Specifically, the correct rate of target registration is 83.87% and the accuracy of target registration is higher than 0.95.