DocumentCode :
2709134
Title :
Chaotic phase synchronization for visual selection
Author :
Breve, Fabricio A. ; Zhao, Liang ; Quiles, Marcos G. ; Macau, Elbert E N
Author_Institution :
Dept. of Comput. Sci., Univ. of Sao Paulo, Sao Carlos, Brazil
fYear :
2009
fDate :
14-19 June 2009
Firstpage :
383
Lastpage :
390
Abstract :
Chaotic phase synchronization among coupled oscillators is a phenomenon of interest in many physical and engineering systems. It has also been observed in biological systems, where groups of different functional units interact with each other in order to produce coherent behaviors in higher levels. While biological systems have facility to capture salient object(s) in a given scene, visual selection is still a challenging task to artificial visual systems. In this paper, a visual selection mechanism based on chaotic phase synchronization is proposed. Oscillators representing the salient object in a given scene are phase synchronized, while no synchronization is observed for background objects. In this way, the salient object is highlighted. Due to the modeling by phase synchronization instead of complete synchronization, the proposed model is robust, biologically inspired and good simulation results were achieved.
Keywords :
biology computing; neurophysiology; synchronisation; artificial visual system; biological system; chaotic phase synchronization; coupled oscillators; salient object; visual selection; Biological system modeling; Biological systems; Brazil Council; Chaos; Computer science; Layout; Neurons; Oscillators; Space technology; Synchronization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2009. IJCNN 2009. International Joint Conference on
Conference_Location :
Atlanta, GA
ISSN :
1098-7576
Print_ISBN :
978-1-4244-3548-7
Electronic_ISBN :
1098-7576
Type :
conf
DOI :
10.1109/IJCNN.2009.5178761
Filename :
5178761
Link To Document :
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