Object selection in visual scene via oscillatory network with controllable coupling and self-organized performance

Authors:
E. S. Grichuk;M. G. Kuzmina;E. A. Manykin
Affiliations:
National Research Nuclear University "MEPhI", Moscow, Russia 115409 and Keldysh Institute of Applied Mathematics RAS, Moscow, Russia 125047 and National Research Center "Kurchatov Institute", Mosc ...;National Research Nuclear University "MEPhI", Moscow, Russia 115409 and Keldysh Institute of Applied Mathematics RAS, Moscow, Russia 125047 and National Research Center "Kurchatov Institute", Mosc ...;National Research Nuclear University "MEPhI", Moscow, Russia 115409 and Keldysh Institute of Applied Mathematics RAS, Moscow, Russia 125047 and National Research Center "Kurchatov Institute", Mosc ...
Venue:
Optical Memory and Neural Networks
Year:
2011

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Abstract

An oscillatory network model with controllable coupling and self-organized synchronization-based performance was developed for image processing. The model demonstrates the following capabilities: (a) brightness segmentation of real grey-level images; (b) colored image segmentation; (c) selective image segmentation--extraction of the subset of image fragments with brightness values contained in an arbitrary given interval. An additional capability--successive selection of spatially separated fragments of a visual scene--has been achieved via further model extension. The fragment selection (under minor natural restrictions on mutual fragment locations) is based on in-phase internal synchronization of oscillator ensembles, corresponding to all the fragments, and distinct phase shifts between different ensembles.