Image registration by simulating human vision

Abstract

In this paper, an efficient and robust algorithm is proposed for image registration, where the images have been acquired at different times, by different sensors and some changes may take place in the scene during the time interval when the images were taken. By simulating human vision behaviors, image registration is carried out through a two-stage process. First, the rotation angles are computed by comparing the distributions of gradient orientations, which is implemented by a simple 1-D correlation. Then, a new approach is presented to detect significant corners in two images and the correspondences are established between corners in two images. At this time, the orientation difference has been removed between the images, so the corner correspondences can be established more efficiently, To account for the false corner correspondences, the voting method is used to determine the transformation parameters. Experimental results are also given. © Springer-Verlag Berlin Heidelberg 2007.