基于最大互信息和量子粒子群优化算法的医学图像配准研究

Research of medical image registration based on max mutual information and quantum-behaved particle swarm algorithm

研究了基于最大互信息的图像配准算法,在图像配准中引入了新的相似性测度,在分析具有量子行为的粒子群优化算法基础上,将量子粒子群算法作为优化策略用于图像配准并与Powell算法和PSO算法进行了仿真比较,对仿真结果进行了分析。

This paper researched the image registration algorithm and introduced a new similar measure into image registration. On the basis of quantum-behaved particle swarm optimization, proposed QPSO algorithm to used into image registration and shown the simulation comparison with Powell and PSO algorithm. Finally gave analysis of simulation results.