DocumentCode
2171157
Title
Image matching based on improved particle swarm optimization
Author
Guo, YongFang ; Sun, YiCai
Author_Institution
Sch. of Comput. Sci. Eng., Hebei Univ. of Technol., Tianjin, China
fYear
2011
fDate
9-11 Sept. 2011
Firstpage
862
Lastpage
865
Abstract
The paper proposed a new image matching algorithm based on improved particle swarm optimization, which can overcome the shortcoming of traditional matching for computering the fitness for every pixel in the searching space. It described the detailed steps of the method in the paper, and the experiment results showed that the method of the paper could get high matching precision and not sensitive to noise while it can drastically reduce the computation time.
Keywords
image matching; particle swarm optimisation; computation time; image matching algorithm; matching precision; particle swarm optimization; Correlation; Educational institutions; Feature extraction; Image matching; Noise; Particle swarm optimization; Signal processing algorithms; computation time; image matching; improved particle swarm optimization; matching precision;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics, Communications and Control (ICECC), 2011 International Conference on
Conference_Location
Ningbo
Print_ISBN
978-1-4577-0320-1
Type
conf
DOI
10.1109/ICECC.2011.6066407
Filename
6066407
Link To Document