Abstract:

A new harmony search quantum genetic algorithm(HSQGA) is proposed for image registration, in which the harmony search (HS) method is merged together with the quantum genetic algorithm (QGA). The proposed algorithm is employed in parameter optimization of aerial image registration, and it can yield a superior optimization performance over the original HS method and basic QGA. The proposed algorithm is further tested on two common test functions, and simulation results illustrate that the proposed algorithm can find good solutions in the limited number of iteration.