DocumentCode
2243245
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
Volume
3
fYear
2004
fDate
25-29 July 2004
Firstpage
1385
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on
ISSN
1098-7584
Print_ISBN
0-7803-8353-2
Type
conf
DOI
10.1109/FUZZY.2004.1375373
Filename
1375373
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