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

Data: 2014
Resum: 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.
Drets: 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
Llengua: Anglès.
Document: article ; recerca ; publishedVersion
Matèria: Indexing ; Retrieval ; Image analysis ; Cultural heritage
Publicat a: ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 13 Núm. 3 (2014) (Regular Issue) , ISSN 1577-5097

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DOI: 10.5565/rev/elcvia.608

16 p, 2.2 MB

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