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|b ger
|c DE-627
|e rakwb
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| 041 |
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|a eng
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| 100 |
1 |
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|a Tzagkarakis, George
|e verfasserin
|4 aut
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| 245 |
1 |
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|a Rotation-invariant texture retrieval with Gaussianized steerable pyramids
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| 264 |
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|c 2006
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| 336 |
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|a Text
|b txt
|2 rdacontent
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| 337 |
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|a ohne Hilfsmittel zu benutzen
|b n
|2 rdamedia
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| 338 |
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|a Band
|b nc
|2 rdacarrier
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| 500 |
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|a Date Completed 26.09.2006
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|a Date Revised 10.12.2019
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|a published: Print
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|a Citation Status MEDLINE
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| 520 |
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|a 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
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| 650 |
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|a Evaluation Study
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|a Journal Article
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| 650 |
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|a Research Support, Non-U.S. Gov't
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| 700 |
1 |
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|a Beferull-Lozano, Baltasar
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Tsakalides, Panagiotis
|e verfasserin
|4 aut
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| 773 |
0 |
8 |
|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1997
|g 15(2006), 9 vom: 12. Sept., Seite 2702-18
|w (DE-627)NLM09821456X
|x 1057-7149
|7 nnns
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| 773 |
1 |
8 |
|g volume:15
|g year:2006
|g number:9
|g day:12
|g month:09
|g pages:2702-18
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|a AR
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| 952 |
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|d 15
|j 2006
|e 9
|b 12
|c 09
|h 2702-18
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