Cellular Neural Networks for Edge Detection

Cellular Neural Networks for Edge Detection

International Journal of Bifurcation and Chaos - -2007

Authors

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/s0218127407017811

BibTex 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"

}