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.
Cellular neural networks for edge detection / Grassi, G.; Vecchio, P.; DI SCIASCIO, Eugenio; Grieco, Luigi Alfredo. - In: INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS IN APPLIED SCIENCES AND ENGINEERING. - ISSN 0218-1274. - 17:4(2007), pp. 1323-1328. [10.1142/S0218127407017811]
Cellular neural networks for edge detection
DI SCIASCIO, Eugenio;GRIECO, Luigi Alfredo
2007-01-01
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
