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- W17204509 abstract "This paper proposes an effective and efficient approach to content-based image retrieval by integrating global visual features and fuzzy region-based color and texture features. The Cauchy function is utilized to fuzzify each independent regional color and texture feature for addressing the issues associated with the color/texture inaccuracies and segmentation uncertainties. The overall similarity measure is computed as a weighted combination between global and regional similarity measures incorporating all features. Our proposed approach demonstrates a promising performance on an image database of 1000 general-purpose images from COREL, as compared with some variants of the proposed method and some peer systems in the literature." @default.
- W17204509 created "2016-06-24" @default.
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- W17204509 date "2004-01-01" @default.
- W17204509 modified "2023-09-27" @default.
- W17204509 title "AN INTEGRATED GLOBAL AND FUZZY REGIONAL APPROACH TO CONTENT-BASED IMAGE RETRIEVAL" @default.
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- W17204509 doi "https://doi.org/10.5220/0001390003390344" @default.
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