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- W1988291125 abstract "This paper presents a novel rotation-invariant image retrieval scheme based on a transformation of the texture information via a steerable pyramid. First, we fit the distribution of the subband coefficients using a joint alpha-stable sub-Gaussian model to capture their non-Gaussian behavior. Then, we apply a normalization process in order to Gaussianize the coefficients. As a result, the feature extraction step consists of estimating the covariances between the normalized pyramid coefficients. The similarity between two distinct texture images is measured by minimizing a rotation-invariant version of the Kullback-Leibler Divergence between their corresponding multivariate Gaussian distributions, where the minimization is performed over a set of rotation angles." @default.
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- W1988291125 date "2006-09-01" @default.
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- W1988291125 title "Rotation-invariant texture retrieval with gaussianized steerable pyramids" @default.
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- W1988291125 doi "https://doi.org/10.1109/tip.2006.877356" @default.
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