DocumentCode :
2662965
Title :
Separation of Visual Scene Fragments via Oscillatory Network Method
Author :
Grichuk, E.S. ; Kuzmina, M.G. ; Manykin, E.A.
Author_Institution :
Moscow Eng. Phys. Inst., Moscow, Russia
fYear :
2008
fDate :
10-12 Dec. 2008
Firstpage :
192
Lastpage :
197
Abstract :
An oscillatory network model with controllable selforganized coupling and synchronization-basedperformance was developed for image processing. Inbrightness image segmentation tasks the model demonstrates the following capabilities: a) full brightness segmentation of real gray-level and colored images; b) selective image segmentation - extraction of subset of image fragments with brightness values contained inside an arbitrary given interval. A new method of successive selection of spatially separated fragments of visual scene has been developed in the frames of the oscillatory network method based on "phase" approach. The method demonstrates satisfactory performance under some naturalrestrictions of fragment geometrical forms and theirmutual locations in visual scene.
Keywords :
image colour analysis; image segmentation; brightness image segmentation tasks; colored images; controllable self-organized coupling; full brightness segmentation; gray-level images; image fragments extraction; image processing; oscillatory network method; selective image segmentation; synchronization-based performance; visual scene fragments separation; Adaptive control; Brain modeling; Brightness; Image analysis; Image processing; Image segmentation; Information processing; Layout; Neuromorphics; Power system modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence for Modelling Control & Automation, 2008 International Conference on
Conference_Location :
Vienna
Print_ISBN :
978-0-7695-3514-2
Type :
conf
DOI :
10.1109/CIMCA.2008.65
Filename :
5172623
Link To Document :
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