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 | |
【 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
【 预 览 】
Files | Size | Format | View |
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RO201911300561965ZK.pdf | 2290KB | download |