计算机应用研究2012，Vol.29Issue(10)：3972-3975,4.DOI:10.3969/j.issn.1001-3695.2012.10.099
一种基于混合量子行为粒子群优化算法的图像配准方法
New medical image registration method using hybrid QPSO
摘要
Abstract
In order to acquire the more high accuracy of multimodality medical image registration required by practical applications, this paper proposed HQPSO algorithm. Accordingly, it presented a novel medical image registration method by means of maximizing the mutual information between two images. The experimental results demonstrate that the performance of new algorithm is more effective than Powell, PSO and QPSO. Thus, the new algorithm provides a more valuable way for the medical image registration strongly desired in the medical diagnosis.关键词
图像配准/互信息/量子行为的粒子群优化(QPSO)算法/Powell法/混合算法Key words
image registration/mutual information/quantum-behaved particle swarm optimization/Powell algorithm/hybrid algorithm分类
信息技术与安全科学引用本文复制引用
谢振平,孙俊..一种基于混合量子行为粒子群优化算法的图像配准方法[J].计算机应用研究,2012,29(10):3972-3975,4.基金项目
2011年度江南大学自主科研计划资助项目(JUSRP11125) （JUSRP11125）
