Scopus: 2 citations, Google Scholar: citations
FMIRS : a fuzzy indexing and retrieval system of mosaic-image database
Maghrebi, wafa Abbassi (University of Sfax. National Engineering School)

Date: 2014
Abstract: This work is dedicated to present a fuzzy-set based system useful for image indexing and retrieval pertaining to historical Roman-mosaics. This exceptional collection of mosaics dates back from the first to fourth centuries AD. Considering the state of these images (i. e. noise, color degradation, etc. ) a fuzzy features definition is necessary. Thereby, we use a robust to rotation, scale and translation fuzzy extended curvature scale space (CSS) as shape descriptor. Furthermore, we propose a fuzzy color-quantization approach, applied on mosaics, using HSV color space. The system allows for two user-friendly querying modes: a drawing based mode and the mode that fusion both shape and color features using a unified fuzzy similarity measure. Based on queries of variable complexity, the advanced fuzzy system has managed to achieve interesting recall, precision and F-measure rates.
Rights: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades. Creative Commons
Language: Anglès
Document: Article ; recerca ; Versió publicada
Subject: Indexing ; Retrieval ; Image analysis ; Cultural heritage
Published in: ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 13 Núm. 3 (2014) (Regular Issue) , ISSN 1577-5097

Adreça original: https://elcvia.cvc.uab.es/article/view/v13-n3-maghrebi
Adreça alternativa: https://raco.cat/index.php/ELCVIA/article/view/284237
DOI: 10.5565/rev/elcvia.608


16 p, 2.2 MB

The record appears in these collections:
Articles > Published articles > ELCVIA
Articles > Research articles

 Record created 2014-12-03, last modified 2024-02-23



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