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1 July 1992 Edge detection using a fuzzy neural network
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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.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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