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dc.contributor.authorLungu, Ana-Elena
dc.contributor.authorColţuc, Daniela
dc.contributor.authorFrângu, Laurenţiu
dc.date.accessioned2016-01-18T14:09:50Z
dc.date.available2016-01-18T14:09:50Z
dc.date.issued2007
dc.identifier.urihttp://10.11.10.50/xmlui/handle/123456789/3888
dc.descriptionThe Annals of "Dunarea de Jos" University of Galatien_US
dc.description.abstractThe proposed method aims to provide a new tool for texture recognition. For this purpose, a set of texture samples are decomposed by using the FastICA algorithm and characterized by a negentropy based signature. In order to do recognition, the texture signatures are compared by means of Minkowski distance. The recognition rates, computed for a set of 320 texture samples, show a medium recognition accuracy and the method may be further improved.en_US
dc.language.isoenen_US
dc.subjecttexture recognitionen_US
dc.subjectIndependent Component Analysisen_US
dc.subjectMinkowski distanceen_US
dc.titleComputing Negentropy Based Signatures for Texture Recognitionen_US
dc.typeArticleen_US


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