Cellular Neural Networks for Edge Detection
International Journal of Bifurcation and Chaos - -2007Authors
Grassi Giuseppe,
Di Sciascio Eugenio, Grieco L. Alfredo , Vecchio Pietro
Abstract
This Letter presents an effective edge detection technique based on the cellular neural network paradigm. The approach exploits a rigorous model of the image contours and takes into account some electrical restrictions of existing hardware implementations. The method yields accurate results, better than the ones achievable by other cellular neural network-based techniques.
DOI
https://doi.org/10.1142/s0218127407017811BibTex references
@Article{GDGV07,
author = "Grassi, Giuseppe and Di Sciascio, Eugenio and Grieco, L. Alfredo and Vecchio, Pietro",
title = "Cellular Neural Networks for Edge Detection",
journal = "International Journal of Bifurcation and Chaos",
number = "4",
volume = "17",
pages = "1323--1329",
year = "2007",
url = "http://sisinflab.poliba.it/Publications/2007/GDGV07"
}