Oscillatory Network for Synchronization-Based Adaptive Image Segmentation

— Oscillatory network model with controllable oscillator dynamics and self-organized dynamical coupling has been created for synchronization-based image processing. The model was previously obtained via reduction from a biologically motivated oscillatory model of the primary visual cortex. The reduced network model performance consists in network relaxation into the state of synchronization. The set of internally synchronized but mutually desynchronized network ensembles (clusters), arising at final synchronization state, corresponds to full set of image fragments. New model developments, presented in the paper, include: a) the advanced

• Type: Conference
• Year: 2006
• Where: IJCNN
• Authors: Eugene Grichuk, Margarita Kuzmina, Edward A. Manykin
• Keywords: IJCNN 2006, Model, Network Model, Oscillatory Network Model