DocumentCode
2164463
Title
Anti-rotation image matching algorithms based on hybrid genetic algorithm
Author
Fu-cheng, You ; Mao-yi, Ye
Author_Institution
Beijing Institute of Graphic Communication, China
fYear
2010
fDate
4-6 Dec. 2010
Firstpage
4366
Lastpage
4369
Abstract
Algorithm for rotated image matching was slow, inefficient and standard genetic algorithm (SGA) in image matching was not high in accuracy, this article introduce a fast anti-rotation image matching algorithm based on hybrid genetic algorithm. The algorithm combines GA and hill-climbing algorithm in an efficient way and performs fast both in global search and local search. The algorithm use circular and ring template instead of rectangle template, and use the histogram of the template to calculate the fitness of the individual in the hybrid genetic algorithm. The speed and accuracy of the Algorithm was proved by the experiment.
Keywords
Accuracy; Algorithm design and analysis; Gallium; Graphics; Image matching; Software; Sun; circular and ring template; component hybrid genetic algorithm; hill-climbing algorithm; template matching;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location
Hangzhou, China
Print_ISBN
978-1-4244-7616-9
Type
conf
DOI
10.1109/ICISE.2010.5691885
Filename
5691885
Link To Document