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Proceedings Paper

Edge detection using a fuzzy neural network
Author(s): David Alan Kerr; James C. Bezdek
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Paper Abstract

We propose a method for training a standard feed forward, back propagation neural-like network using fuzzy label vectors whose performance goal is to produce edge images from standard imagery such as FLIR, video, and grey tone pictures. Our method is based on training the network on a basis set of edge windows which are scored using the Sobel operator. The method is illustrated by comparing edge images of several real scenes with those derived using the Sobel and Canny image operators.

Paper Details

Date Published: 1 July 1992
PDF: 12 pages
Proc. SPIE 1710, Science of Artificial Neural Networks, (1 July 1992); doi: 10.1117/12.140119
Show Author Affiliations
David Alan Kerr, Sverdrup Technology, Inc. (United States)
James C. Bezdek, Univ. of West Florida (United States)

Published in SPIE Proceedings Vol. 1710:
Science of Artificial Neural Networks
Dennis W. Ruck, Editor(s)

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