Neural networks can be very useful for image processing applications. This paper exploits the Cellular Neural Network (CNN) paradigm to develop a new edge detection algorithm. The approach makes use of rigorous model of the image contours, and takes into account some electrical restrictions of existing CNN-based hardware implementations. Four benchmark video sequences are analyzed, that is, Car-phone, Miss America, Stefan, and Foreman. The analysis shows that the proposed algorithm yields accurate results, better than the ones achievable by other CNN-based methods. Finally, comparisons with standard edge detection techniques (i.e., LoG edge detector and Canny algorithm) further confirm the capability of the developed approach.

Neural networks for image processing: new edge detection algorithm / Grassi, G.; Vecchio, P.; DI SCIASCIO, Eugenio; Grieco, Luigi Alfredo; Cafagna, D.. - (2007), pp. 498-502. (Intervento presentato al convegno 2007 IEEE International Conference on Electro/Information Technology, EIT 2007 tenutosi a Chicago, IL nel May 17-20, 2007) [10.1109/EIT.2007.4374439].

Neural networks for image processing: new edge detection algorithm

DI SCIASCIO, Eugenio;GRIECO, Luigi Alfredo;
2007-01-01

Abstract

Neural networks can be very useful for image processing applications. This paper exploits the Cellular Neural Network (CNN) paradigm to develop a new edge detection algorithm. The approach makes use of rigorous model of the image contours, and takes into account some electrical restrictions of existing CNN-based hardware implementations. Four benchmark video sequences are analyzed, that is, Car-phone, Miss America, Stefan, and Foreman. The analysis shows that the proposed algorithm yields accurate results, better than the ones achievable by other CNN-based methods. Finally, comparisons with standard edge detection techniques (i.e., LoG edge detector and Canny algorithm) further confirm the capability of the developed approach.
2007
2007 IEEE International Conference on Electro/Information Technology, EIT 2007
978-1-4244-0940-2
Neural networks for image processing: new edge detection algorithm / Grassi, G.; Vecchio, P.; DI SCIASCIO, Eugenio; Grieco, Luigi Alfredo; Cafagna, D.. - (2007), pp. 498-502. (Intervento presentato al convegno 2007 IEEE International Conference on Electro/Information Technology, EIT 2007 tenutosi a Chicago, IL nel May 17-20, 2007) [10.1109/EIT.2007.4374439].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/21227
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