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基于混合粒子群优化算法的医学图像配准
引用本文:火元莲,齐永锋,吕振肃,马胜前.基于混合粒子群优化算法的医学图像配准[J].红外技术,2007,29(9):545-547.
作者姓名:火元莲  齐永锋  吕振肃  马胜前
作者单位:1. 西北师范大学物理与电子工程学院,甘肃,兰州,730070
2. 西北师范大学数学与信息科学学院,甘肃,兰州,730070
3. 兰州大学信息科学与工程学院,甘肃,兰州,730000
摘    要:提出了一种基于粒子群算法PSO和Powell的混合优化算法,将PSO算法的全局搜索能力与Powell算法的局部寻优能力有机地结合起来.即在PSO算法每步迭代后对当前的局部最优解增加一步Powell局部寻优算法,进而保证了解的精确性的同时提高了求解的速度.将其应用于配准过程中对目标函数的最优化,取得了比较好的效果.

关 键 词:图像配准  互信息  PSO算法  Powell算法  混合  粒子群优化算法  医学图像配准  Algorithm  Mixed  Based  Method  效果  比较  最优化  目标函数  过程  应用  速度  求解  寻优算法  最优解  迭代  结合  寻优能力
文章编号:1001-8891(2007)09-0545-03
修稿时间:2007-05-30

A Medical Image Registration Method Based on Mixed PSO Algorithm
HUO Yuan-lian,QI Yong-feng,LV Zhen-su,MA Sheng-qian.A Medical Image Registration Method Based on Mixed PSO Algorithm[J].Infrared Technology,2007,29(9):545-547.
Authors:HUO Yuan-lian  QI Yong-feng  LV Zhen-su  MA Sheng-qian
Affiliation:1 .Physics and Electronic Engineering College of Nothwest Normal University, lanzhou Gansu 730070, China; 2.Mathematics and Information Science Colledg of Nothwest Normal University, lanzhou Gansu 730070, China; 3.School of Information Science and Engineering of Lan Zhou University, lanzhou Gansu 730000, China
Abstract:A novel algorithm that combines the global search ability of PSO algorithm and the local best result of Powell search algorithm is proposed where, after each time iterated algorithm of PSO, a Powell algorithm is used to get the best result of the current local result, thus, a more precise result can be get .And the application of this algorithm in goal function of image registration process can makes better result.
Keywords:
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