In order to enhance the complementary advantages by registration and fusion of virtual and real image, a precise registration algorithm by edge feature and global optimization was proposed and the problem was transformed to a classical multi-modal image registration problem. At first, initial registration was achieved by inertial navigation system(INS) instruments. Then the 3D model and visual image edge structure similar with human vision was extracted by the edge algorithm based on phase congruency model. Finally the global optimal parameter with respect to maximal registration value of space transforming model was calculated by simulated annealing algorithm. 4 groups of experiments result showed that this registration method can make full use of the similar edge structure between 2 images; and simulated annealing algorithm can achieve the better parameter for registration transform. The experiments result also indicated that these multi-modal pairs are registered with enough accuracy.
