Edge detection using a fuzzy neural network

David Alan Kerr; James C. Bezdek

doi:10.1117/12.140119

1 July 1992 Edge detection using a fuzzy neural network

David Alan Kerr, James C. Bezdek

Proceedings Volume 1710, Science of Artificial Neural Networks; (1992) https://doi.org/10.1117/12.140119
Event: Aerospace Sensing, 1992, Orlando, FL, United States

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.

Citation Download Citation

David Alan Kerr and James C. Bezdek "Edge detection using a fuzzy neural network", Proc. SPIE 1710, Science of Artificial Neural Networks, (1 July 1992); https://doi.org/10.1117/12.140119

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