Layered image matching based on adaptive genetic algorithm
Feng Liu · Journal of Zhejiang University of Technology · 2003
Image matching is one of one key technology of computer vision. The speed of matching is as important as the dependability and precision of matching. Because of the ergodicity of conventional image matching algorithm, the speed of matching is slower. It is limited in practice. A hybrid algorithm combining adaptive genetic algorithm and unitized product correlation realizes the fast and coarse image matching. Then we can utilize phase correlation to realize the precise image matching in the neighborhood of the point of the coarse image matching. We can obtain the precise matching and improve the speed of matching by using the algorithm. In our experiment, it is proved to be effective after comparing with the conventional sequential similarity detection algorithm (SSDA).