DocumentCode
567065
Title
Evaluation of several quantum genetic algorithms in medical image registration applications
Author
Zhang, XiuJie ; Li, Shiyong ; Shen, Yi ; Song, ShenMin
Author_Institution
Dept. of Control Sci. & Eng., Harbin Inst. of Technol., Harbin, China
Volume
2
fYear
2012
fDate
25-27 May 2012
Firstpage
710
Lastpage
713
Abstract
Registration is an important problem and a fundamental task in image processing. Recently, quantum-inspired evolutionary algorithms(QEA) have been proposed and applied to many optimization problems. However, few people study the application of QEA for image registration. This paper evaluate three kinds of QGAs in medical image registration applications, in which QGAs are implemented to find approximate solutions that maximizes the maximum mutual information(MI), and the experimental results are compared and analyzed.
Keywords
image registration; medical image; quantum genetic algorithm; quantum inspired evolutionary algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Automation Engineering (CSAE), 2012 IEEE International Conference on
Conference_Location
Zhangjiajie, China
Print_ISBN
978-1-4673-0088-9
Type
conf
DOI
10.1109/CSAE.2012.6272866
Filename
6272866
Link To Document