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Proceedings Paper

Image processing algorithms based on neural network technology
Author(s): Igor N. Aizenberg
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Paper Abstract

This paper is devoted to implementation of the some original image processing algorithms using cellular neural networks on multi-valued and universal binary neurons. High-effective multi-valued filters, their implementation and application to the noise removing and frequencies correction are considered. Algorithms of the edge detection and impulse noise filtering, and their implementation are also considered. Application of the networks from multi-valued neurons to image recognition and to extrapolation of the image orthogonal spectrum to the highest frequencies domain is also presented.

Paper Details

Date Published: 1 April 1998
PDF: 10 pages
Proc. SPIE 3402, Optical Information Science and Technology (OIST97): Optical Memory and Neural Networks, (1 April 1998); doi: 10.1117/12.304971
Show Author Affiliations
Igor N. Aizenberg, Katholieke Univ. Leuven (Israel)


Published in SPIE Proceedings Vol. 3402:
Optical Information Science and Technology (OIST97): Optical Memory and Neural Networks
Andrei L. Mikaelian, Editor(s)

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