Variant of feature extraction and coding-reconstruction of the images using neuron-like algorithms

Procedures of various feature extractions in synchronous modes, segmentation for the subsequent coding and reconstruction of the initial gray-tone image are realized. The model of a two-dimensional layer describing a one-layer (one-component) distributed neuron-like system is used for the computer simulation. The system consists of active neuron-like elements with a nonlocal coupling function between them. Analysis of possible collective activity patterns in such a system is carried out. The developed algorithm of image segmentation and reconstruction belongs to the class of synchronous data-processing algorithms.