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