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- W2030621808 abstract "Our article presents a new way to characterize texture : Wavelet Geometrical Features, that extracts structural measurements from wavelet sub-bands, when most of the wavelet-based methods found in the litterature use only statistical ones. We first describe the method used to compute our features, and thereafter compare them to thirteen other standard texture features in a classification experiment on the whole Brodatz texture database. We showed that our method produces the best results, especially over the wavelet energy signature and the method it originated from, the Statistical Geometrical Features of Chen." @default.
- W2030621808 created "2016-06-24" @default.
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- W2030621808 date "2005-11-09" @default.
- W2030621808 modified "2023-10-17" @default.
- W2030621808 title "A new wavelet sub-band characterization for texture recognition" @default.
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- W2030621808 doi "https://doi.org/10.1117/12.629333" @default.
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