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dc.contributor.authorBrancati, N.-
dc.contributor.authorFrucci, M.-
dc.contributor.authorDe Pietro, G.-
dc.contributor.authorGallo, L.-
dc.date.accessioned2016-10-14T10:54:42Z-
dc.date.available2016-10-14T10:54:42Z-
dc.date.issued2016-
dc.identifier.urihttp://elib.bsu.by/handle/123456789/158528-
dc.description.abstractThis paper presents a new approach for skin detection in colour images. The method is based on the building of a dynamic clustering in the YCbCr colour space, taking into account the illumination conditions of the examined image. The results of a comparative evaluation on a publicly available database, show that the proposed method outperforms well known rule based static methods, both in qualitative and quantitative terms.ru
dc.language.isoenru
dc.publisherMinsk: Publishing Center of BSUru
dc.subjectЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математикаru
dc.subjectЭБ БГУ::ОБЩЕСТВЕННЫЕ НАУКИ::Информатикаru
dc.subjectЭБ БГУ::ТЕХНИЧЕСКИЕ И ПРИКЛАДНЫЕ НАУКИ. ОТРАСЛИ ЭКОНОМИКИ::Медицина и здравоохранениеru
dc.titleDynamic clustering for skin detection in YCbCr colour spaceru
dc.typeArticleru
Appears in Collections:2016. PATTERN RECOGNITION AND INFORMATION PROCESSING (PRIP’2016)

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