Image Registration with a Modified Quantum-Behaved Particle Swarm Optimization

Author

Bao, Yu ; Sun, Jun

Author_Institution

Sch. of Digital Medium, Jiangnan Univ., Wuxi, China

fYear

2011

fDate

14-17 Oct. 2011

Firstpage

202

Lastpage

206

Abstract

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.

Keywords

exponential distribution; iterative methods; medical image processing; normal distribution; particle swarm optimisation; QPSO algorithm; RQPSO; exponential probability distribution; medical image registration; modified quantum-behaved particle swarm optimization; normal probability distribution; novel iterative equation; particle position; tested image registration problem; Biomedical imaging; Equations; Image registration; Measurement; Optimization; Particle swarm optimization; Sun; image segmentation; particle swarm optimization; probability distribution; quantum-behaved particle swarm optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Distributed Computing and Applications to Business, Engineering and Science (DCABES), 2011 Tenth International Symposium on

Conference_Location

Wuxi

Print_ISBN

978-1-4577-0327-0

Type

conf

DOI

10.1109/DCABES.2011.51

Filename

6118571