Is proposed a new image comparison index based on the greatest solution of a system of bilinear fuzzy relation equations A∙x=B∙x, where “∙” is the max-min composition, A and B are known images and x is an unknown vector. We show that this inde is more robust than the greatest and smallest eigen fuzzy set with respect to max-min composition a and on the Lukasiewicz t-norm with respect to the presence of noise introduced with several compression rates via fuzzy transforms.
Bilinear equations and fuzzy image comparison / DI MARTINO, Ferdinando; Sessa, Salvatore. - (2017). (Intervento presentato al convegno FUZZ -IEEE 2017 - IEEE International Conference on Fuzzy Systems , tenutosi a Napoli, Italy nel 9-12 luglio 2017).
Bilinear equations and fuzzy image comparison
Di Martino Ferdinando;sessa salvatore
2017
Abstract
Is proposed a new image comparison index based on the greatest solution of a system of bilinear fuzzy relation equations A∙x=B∙x, where “∙” is the max-min composition, A and B are known images and x is an unknown vector. We show that this inde is more robust than the greatest and smallest eigen fuzzy set with respect to max-min composition a and on the Lukasiewicz t-norm with respect to the presence of noise introduced with several compression rates via fuzzy transforms.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
