Mutual information image registration based on improved bee evolutionary genetic algorithm
Gang Xu, Jingzhi Tu · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2009
In recent years, the mutual information is regarded as a more efficient similarity metrics in the image registration. According to the features of mutual information image registration, the Bee Evolution Genetic Algorithm (BEGA) is chosen for optimizing parameters, which imitates swarm mating. Besides, we try our best adaptively set the initial parameters to improve the BEGA. The programming result shows the wonderful precision of the algorithm.