FMIRS: A Fuzzy indexing and retrieval system of mosaic-image database

Maghrebi, wafa Abbassi ^[1] ; Mohamed A. Khabou ; Adel M. Alimi
1. [1] University of Sfax
  
  University of Sfax
  
  Túnez
Localización: ELCVIA. Electronic letters on computer vision and image analysis, ISSN-e 1577-5097, Vol. 13, Nº. 3, 2014, págs. 81-96
Idioma: inglés
DOI: 10.5565/rev/elcvia.608
Enlaces
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Resumen
- 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.