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• W2155479617 abstract "The performance of most region-based image retrieval systems depend critically on the accuracy of object segmentation. We propose a region matching approach, unified feature matching (UFM), which greatly increases the robustness of the retrieval system against segmentation related uncertainties. In our retrieval system, an image is represented by a set of segmented regions each of which is characterized by a fuzzy feature reflecting color, texture, and shape properties. The resemblance between two images is then defined as the overall similarity between two families of fuzzy features, and quantified by the UFM measure. The system has been tested on a database of about 60,000 general-purpose images. Experimental results demonstrate improved accuracy and robustness." @default.
• W2155479617 created "2016-06-24" @default.
• W2155479617 creator A5047318884 @default.
• W2155479617 creator A5064454013 @default.
• W2155479617 date "2004-03-22" @default.
• W2155479617 modified "2023-09-25" @default.
• W2155479617 title "Looking beyond region boundaries: a robust image similarity measure using fuzzified region features" @default.
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• W2155479617 doi "https://doi.org/10.1109/fuzz.2003.1206596" @default.
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