An Indexing and Retrieval System of Historic Art Images Based on Fuzzy Shape Similarity

Maghrebi, Wafa; Baccour, Leila; Khabou, Mohamed A.; Alimi, Adel M.

doi:10.1007/978-3-540-76631-5_59

Cited by 10 publications

(9 citation statements)

References 7 publications

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“…However, The IFSM (10) which is proposed to rectify (8) produces better recognition rate in 1-best but less recognition rate in 2-best and 10-best than (9) and an error rate greater than (9). (7) and (14) lead to the same results despite that (14) is more recent. (11) produces results relatively close to (9) and (12), better than (9) and less than (12).…”

Section: Resultssupporting

confidence: 68%

“…However, the recognition rate found on application of each of these measures is similar in 1-best and 10-best, and their error rates are similar too. The IFSM (7) produces better results than (8), despite that this last is proposed to correct (7). However, The IFSM (10) which is proposed to rectify (8) produces better recognition rate in 1-best but less recognition rate in 2-best and 10-best than (9) and an error rate greater than (9).…”

Section: Resultsmentioning

confidence: 70%

“…UZZY logic introduced by Zadeh in [1] is successfully used in many research topics [2]- [3]- [4]- [5]- [6]- [7]- [8]. Therefore, some generalizations of this theory are investigated, such as type 2 Fuzzy sets [9] and intuitionistic fuzzy sets (IFSs) [10]- [11].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A comparison of some intuitionistic fuzzy similarity measures applied to handwritten arabic sentences recognition

Baccour¹,

Alimi²

2009

2009 IEEE International Conference on Fuzzy Systems

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Section: Resultssupporting

confidence: 68%

Section: Resultsmentioning

confidence: 70%

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A comparison of some intuitionistic fuzzy similarity measures applied to handwritten arabic sentences recognition

Baccour¹,

Alimi²

2009

2009 IEEE International Conference on Fuzzy Systems

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“…Once a mosaic input image is provided to the FMIRS system, the later would allow the user to specify/extract the relevant objects using an on-line annotation module, which relies on a user's perception to annotate areas of interest and important shapes/objects in a mosaic image. More details can be found in Maghrebi et al [10]. By using an object boundary as a guiding outline, we extract, automatically, the objects' robust shape crisp descriptors.…”

Section: The System General Architecturementioning

confidence: 99%

“…In this context, some efforts have been realized in the previous work (Maghrebi et al [10], Maghrebi et al [19]). At this level, our targeted objective consists of moving from crisp shape-feature values for extended CSS descriptors to fuzzy ones.…”

Section: The Shape-feature Fuzzificationmentioning

confidence: 99%

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

Maghrebi

2014

ELCVIA

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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.

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