A medical image registration algorithm based on hybrid optimization algorithm
Bie Shuli · Beijing shengwu yixue gongcheng · 2015
Image registration algorithm based on mutual information has high complexity and low speed. To solve the problem,a new image registration method based on improved genetic algorithm and Powell algorithm is proposed in this paper. Considering the shortages of the standard genetic algorithm,such as prematurity and slow convergence that may result in mismatching,in this paper,we improve the crossover operation of the genetic operations. At the same time,we combine the improved genetic algorithm and Powell algorithm. The method makes full use of the global search capability of genetic algorithm and the local search capability of Powell algorithm. Compared with Powell algorithm and the traditional genetic algorithm,this algorithm we proposed can effectively improve the image registration velocity and noise immunity.