Image registration with a modified quantum-behaved particle swarm optimization

被引：3
|
作者：
Bao, Yu [1 ]
Sun, Jun [2 ]
机构：
[1] Jiangnan Univ, Sch Digital Medium, 1800 Lihu Ave, Wuxi 241222, Jiangu, Peoples R China
[2] Jiangnan Univ, Key Lab Adv Proc Control Light Ind, Jian, Jiangxi, Peoples R China
来源：
2011 TENTH INTERNATIONAL SYMPOSIUM ON DISTRIBUTED COMPUTING AND APPLICATIONS TO BUSINESS, ENGINEERING AND SCIENCE (DCABES) | 2011年
关键词：
particle swarm optimization; quantum-behaved particle swarm optimization; image segmentation; probability distribution; GLOBAL OPTIMIZATION; ALGORITHMS;
D O I：
10.1109/DCABES.2011.51
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
A revised quantum-behaved particle swarm optimization (RQPSO) with novel iterative equation is proposed, which uses hybrid of double exponential and normal probability distributions to sample the particle's position. The RQPSO is applied to medical image registration and the performance comparison testifies that it outperforms the PSO and QPSO algorithms on the tested image registration problems.
引用
收藏
页码：202 / 206
页数：5
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