An Image Registration Approach using Genetic Algorithms

被引:0
作者
Valsecchi, Andrea [1 ]
Damas, Sergio [1 ]
Santamaria, Jose
机构
[1] European Ctr Soft Comp, Mieres, Spain
来源
2012 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) | 2012年
关键词
SURFACES;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We introduce a new intensity-based image registration (IR) technique based on a modern, real-coded genetic algorithm. Our proposal is tested on 16 registration scenarios involving real-world MRI medical images. A novel methodological framework to compare heterogeneous IR algorithms is also described. Following such methodology, our algorithm is compared with four well-known IR techniques of different natures. The proposed method is able to improve the results of these techniques in the majority of the scenarios.
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页数:8
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