关键词: 图像配准, 互信息, 量子行为的粒子群优化算法

Abstract: Image registration based on mutual information is of high accuracy and robustness.Unfortunately，the mutual information function is generally not a smooth function but one containing many local maxima，which has a large influence on optimization.This paper proposes a registration method based on Quantum-behaved Particle Swarm Optimization（QPSO） algorithm.Not only QPSO has less parameters to control，but also does its sampling space at each iteration covers the whole solution space.Thus QPSO can find the best solution quickly and guarantee to be global convergent.Experiments show that this registration method can efficiently restrain local maxima of mutual information function and improve accuracy.Compared with the gold standard，the sub-pels accuracy can be achieved.

Key words: image registration, mutual information, Quantum-behaved Particle Swarm Optimization（QPSO） algorithm