DocumentCode
2105454
Title
Recognition of Time-frequency Image Ridge by PSO
Author
Yu, Ming ; Zeng, Jianchao ; Zhao, Jian ; Yan, Xianguo
Author_Institution
Tianjin Inst. of Urban Constr., Tianjin
fYear
2008
fDate
21-22 Dec. 2008
Firstpage
479
Lastpage
482
Abstract
Characteristic parameters identification of mechanical structure is an important part of modal analysis. These ridges can carry much information of system characteristic parameters. Recognition of the ridges in time-frequency space is addressed in this paper by making use of the so-called PSO (particle swarm optimization) technique. Furthermore, the simulation experiments are implemented in order to evaluate precision of this method and the robustness of noise. The simulation experiment results prove that this method is fast and simple, with high accuracy, less iterations and small noise. PSO is shown to be a promising method to solve ridge recognition problems regarding, in particular, according to the results herein obtained.
Keywords
image recognition; iterative methods; particle swarm optimisation; PSO; characteristic parameters identification; mechanical structure; modal analysis; noise robustness; particle swarm optimization; ridge recognition problems; time-frequency image recognition; time-frequency space; Data mining; Image recognition; Information technology; Karhunen-Loeve transforms; Modal analysis; Noise robustness; Parameter estimation; Particle swarm optimization; Space technology; Time frequency analysis; Time-frequency image ridge; ridge Recognition; the particle swarm optimization (PSO) algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Technology Application Workshops, 2008. IITAW '08. International Symposium on
Conference_Location
Shanghai
Print_ISBN
978-0-7695-3505-0
Type
conf
DOI
10.1109/IITA.Workshops.2008.45
Filename
4731982
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