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- W1937407811 abstract "The present work presents a novel solution to provide descriptors of a texture image with application in the classification of such images. The proposed method is based on the lacunarity measure of an image. We apply a multiscale transform over the power-law relation of lacunarity and extract the descriptors from a window of the multiscale transform selected whose limits are determined empirically. We compare the classification accuracy of the proposed method with other state-of-the-art and classical texture descriptors found in the literature. We also do a brief theoretical summary of lacunarity definition, explaining its excellent performance comprobed in the results." @default.
- W1937407811 created "2016-06-24" @default.
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- W1937407811 date "2012-01-01" @default.
- W1937407811 modified "2023-09-26" @default.
- W1937407811 title "Texture Classification Based on Lacunarity Descriptors" @default.
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- W1937407811 doi "https://doi.org/10.1007/978-3-642-31254-0_58" @default.
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