Title :
Eigen fuzzy sets and image information retrieval
Author :
Di Martino, F. ; Sessa, S. ; Nobuhara, H.
Author_Institution :
Dipt. di Costruzioni e Metodi Matematici in Architettura, Univ. di Napoli Federico II, Italy
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.
Keywords :
eigenvalues and eigenfunctions; fuzzy set theory; image retrieval; information retrieval; minimax techniques; eigen fuzzy sets; image information retrieval; max-min composition; view sphere database; Calculus; Computational intelligence; Data mining; Equations; Fuzzy sets; Image databases; Image resolution; Image retrieval; Information retrieval; Pixel;
Conference_Titel :
Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on
Print_ISBN :
0-7803-8353-2
DOI :
10.1109/FUZZY.2004.1375373
