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Proceedings Paper

Neural-network-aided design for image processing
Author(s): Ilia Vitsnudel; Ran Ginosar; Yehoshua Y. Zeevi
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Paper Abstract

A new concept of Neural Network-Aided Design (NN-AD) is presented. It is a hierarchical approach consisting of several concatenated stages of visual information processing that are designed by training neural networks (NN). Thus, NN-AD can be viewed as a general tool for the design of special filters in accordance with the specific task of image processing under consideration. The nonlinear filters are formatted by a supervised presentation of a proper set of input-output patterns. The principles of NN-AD design are illustrated by the examples of edge detection with subpixel resolution and of orientational processing for edge enhancement. The proposed NN-AD approach is found to be very robust with regard to various types of errors.

Paper Details

Date Published: 1 November 1991
PDF: 6 pages
Proc. SPIE 1606, Visual Communications and Image Processing '91: Image Processing, (1 November 1991); doi: 10.1117/12.50370
Show Author Affiliations
Ilia Vitsnudel, Technion - Israel Institute of Technology (Israel)
Ran Ginosar, Technion - Israel Institute of Technology (Israel)
Yehoshua Y. Zeevi, Technion - Israel Institute of Technology (Israel)


Published in SPIE Proceedings Vol. 1606:
Visual Communications and Image Processing '91: Image Processing
Kou-Hu Tzou; Toshio Koga, Editor(s)

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