期刊论文详细信息
ELCVIA Electronic Letters on Computer Vision and Image Analysis
FMIRS: A Fuzzy indexing and retrievalsystem of mosaic-image database
wafa Abbassi Maghrebi1 
[1] National engineering school, University of Sfax
关键词: Indexing;    retrieval;    image analysis;    cultural heritage;   
DOI  :  
学科分类:计算机科学(综合)
来源: ELCVIA
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【 摘 要 】

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.

【 授权许可】

Unknown   

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