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dc.contributor.authorTuna, H.en_US
dc.contributor.authorOnaran, I.en_US
dc.contributor.authorÇetin, A. Enisen_US
dc.date.accessioned2015-07-28T11:58:41Z
dc.date.available2015-07-28T11:58:41Z
dc.date.issued2009-06-05en_US
dc.identifier.issn1070-9908
dc.identifier.urihttp://hdl.handle.net/11693/11767
dc.description.abstractA fast algorithm for image classification based on a computationally efficient operator forming a semigroup on real numbers is developed. The new operator does not require any multiplications. The co-difference matrix based on the new operator is defined and an image descriptor using the co-difference matrix is developed. In the proposed method, the multiplication operation of the well-known covariance method is replaced by the new operator. The proposed method is experimentally compared with the regular covariance matrix method. The proposed descriptor performs as well as the the regular covariance method without performing any multiplications. Texture recognition and licence plate identification examples are presented.en_US
dc.language.isoEnglishen_US
dc.source.titleIEEE Signal Processing Lettersen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/LSP.2009.2024589en_US
dc.subjectCo-difference Matrixen_US
dc.subjectCovariance Matrixen_US
dc.subjectLicense plate identificationen_US
dc.subjectMultiplier-less signal processingen_US
dc.subjectTexture recognitionen_US
dc.titleImage description using a multiplier-less operatoren_US
dc.typeArticleen_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.citation.spage751en_US
dc.citation.epage753en_US
dc.citation.volumeNumber16en_US
dc.citation.issueNumber9en_US
dc.identifier.doi10.1109/LSP.2009.2024589en_US
dc.publisherIEEEen_US
dc.contributor.bilkentauthorÇetin, A. Enis
buir.contributor.orcidÇetin, A. Enis|0000-0002-3449-1958en_US


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