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- W1506771526 abstract "We present some analysis techniques and indexing strategies aimed to support classification and retrieval of textures using only perceptual features. The goal of this research is to provide a visual system that, starting from graphical cues representing relevant perceptual features of texture, interactively searches the most similar texture in the set of candidates in the corresponding texture space. Hence, a set of relevant perceptual features, used for indexing, is proposed: directionality, contrast and coarseness. A graphical representation of the computed characteristics is presented together with some examples. Finally, texture retrieval experiments using such iconic representations are presented and discussed." @default.
- W1506771526 created "2016-06-24" @default.
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- W1506771526 date "2004-02-03" @default.
- W1506771526 modified "2023-09-26" @default.
- W1506771526 title "Perceptive visual texture classification and retrieval" @default.
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- W1506771526 doi "https://doi.org/10.1109/iciap.2003.1234103" @default.
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