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

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2 Author(s)
Yakhno, V. ; Inst. of Appl. Phys., Russian Acad. of Sci., Nizhny Novgorod, Russia ; Nuidel, I.

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.

Published in:

Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on  (Volume:4 )

Date of Conference:

25-29 July 2004