DocumentCode :
2815708
Title :
An image registration approach using genetic algorithms
Author :
Valsecchi, A. ; Damas, S. ; Santamaria, J.
Author_Institution :
Eur. Centre for Soft Comput., Mieres, Spain
fYear :
2012
fDate :
10-15 June 2012
Firstpage :
1
Lastpage :
8
Abstract :
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.
Keywords :
biomedical MRI; genetic algorithms; image registration; genetic algorithms; heterogeneous IR algorithms; intensity-based image registration IR technique; real-coded genetic algorithm; real-world MRI medical images; Correlation; Feature extraction; Genetic algorithms; Image registration; Magnetic resonance imaging; Measurement; Optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation (CEC), 2012 IEEE Congress on
Conference_Location :
Brisbane, QLD
Print_ISBN :
978-1-4673-1510-4
Electronic_ISBN :
978-1-4673-1508-1
Type :
conf
DOI :
10.1109/CEC.2012.6256162
Filename :
6256162
Link To Document :
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