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Proceedings Paper

Parallel-hierarchical network image processing
Author(s): Leonid I. Timchenko; Nafez O. Sweiki; Evgeni A. Khodiakov; Jliya V. Baybak
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Paper Abstract

The paper presents a novel three-dimensional network and its application to pattern analysis. This is a multistage architecture which investigates partial correlations between structural image components. Initially the image is partitioned to be processed in parallel channels. In each channel, the structural components are transformed and subsequently separated depending on their informational activity, to be mixed with the components from other channels for further processing. An output result is represented as a pattern vector, whose components are computed one at a time to allow the quickest possible response. The paper presents an algorithm applied to facial images decomposition. The input gray-scale image is transformed so that each pixel contains information about the spatial structure of its neighborhood. A three-level representation of gray-scale image is used in order for each pixel to contain the maximum amount of structural information. The most correlated information is extracted first, making the algorithm tolerant to minor structural changes.

Paper Details

Date Published: 12 June 2001
PDF: 8 pages
Proc. SPIE 4425, Selected Papers from the International Conference on Optoelectronic Information Technologies, (12 June 2001); doi: 10.1117/12.429738
Show Author Affiliations
Leonid I. Timchenko, Vinnytsia State Technical Univ. (Ukraine)
Nafez O. Sweiki, Vinnytsia State Technical Univ. (Ukraine)
Evgeni A. Khodiakov, Vinnytsia State Technical Univ. (Ukraine)
Jliya V. Baybak, Vinnytsia State Technical Univ. (Ukraine)


Published in SPIE Proceedings Vol. 4425:
Selected Papers from the International Conference on Optoelectronic Information Technologies
Sergey V. Svechnikov; Volodymyr P. Kojemiako; Sergey A. Kostyukevych, Editor(s)

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