An image can be interpreted as a fuzzy relation by normalizing the values of its pixels. We use the greatest eigen fuzzy set (for short, GEFS) with respect to the max-min composition and the smallest eigen fuzzy set (for short, SEFS) with respect to the min-max composition of this fuzzy relation for resolution of problems of image information retrieval. The experiments are executed on some images extracted from “View Sphere Database”. Based over GEFS and SEFS, a similarity measure is introduced for comparison between the sample image and the retrieved images.
Eigen Fuzzy Sets and Image Information Retrieval / Sessa, Salvatore; DI MARTINO, F.; Nobuhara, H.. - STAMPA. - 3:(2004), pp. 1385-1390. (Intervento presentato al convegno IEEE International Conference on Fuzzy Systems tenutosi a Budapest nel 25-29 luglio 2004) [10.1109/FUZZY.2004.1375373].
Eigen Fuzzy Sets and Image Information Retrieval
SESSA, SALVATORE;F. DI MARTINO;
2004
Abstract
An image can be interpreted as a fuzzy relation by normalizing the values of its pixels. We use the greatest eigen fuzzy set (for short, GEFS) with respect to the max-min composition and the smallest eigen fuzzy set (for short, SEFS) with respect to the min-max composition of this fuzzy relation for resolution of problems of image information retrieval. The experiments are executed on some images extracted from “View Sphere Database”. Based over GEFS and SEFS, a similarity measure is introduced for comparison between the sample image and the retrieved images.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
