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  • Authors: Tzagkarakis, G.; Beferull-Lozano, B.; Tsakalides, P.
  • (2005).
  • Publication types: Article
  • URL Publication: Rotation-Invariant Texture Retrieval with gaussianized steerable pyramids
  • 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.