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Proceedings Paper

System-theoretical approach to multistage image processing
Author(s): Maxim A. Grudin; Leonid I. Timchenko; David Mark Harvey; Vladimir P. Gel
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Paper Abstract

We present a novel three-dimensional network and its application to pattern analysis. This is a multistage architecture which investigates partial correlations between structural image components. Mathematical description of the multistage hierarchical processing is provided together with the network architecture. 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. This procedure of temporal decomposition creates a flexible processing hierarchy, which reflects structural image complexity. An output result is represented as a pattern vector, whose components are computed one at a time to allow the quickest possible response. While several applications of the multistage network are possible, this paper represents an algorithm applied to image classification. 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 investigation of spatial regularities at all hierarchical levels provides a unified approach to pattern analysis. The most correlated information is extracted first, making the algorithm tolerant to minor structural changes.

Paper Details

Date Published: 26 August 1996
PDF: 11 pages
Proc. SPIE 2785, Vision Systems: New Image Processing Techniques, (26 August 1996); doi: 10.1117/12.248543
Show Author Affiliations
Maxim A. Grudin, Liverpool John Moores Univ. (United Kingdom)
Leonid I. Timchenko, Vinnitsa State Technical Univ. (Ukraine)
David Mark Harvey, Liverpool John Moores Univ. (United Kingdom)
Vladimir P. Gel, Vinnitsa State Technical Univ. (Ukraine)


Published in SPIE Proceedings Vol. 2785:
Vision Systems: New Image Processing Techniques
Philippe Refregier, Editor(s)

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