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
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;
Conference_Titel :
Electronics, Communications and Control (ICECC), 2011 International Conference on
Conference_Location :
Ningbo
Print_ISBN :
978-1-4577-0320-1
DOI :
10.1109/ICECC.2011.6066407
