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Please use this identifier to cite or link to this item: https://elib.bsu.by/handle/123456789/256827
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dc.contributor.authorQuy Hoang Van-
dc.contributor.authorHuy Tran Van-
dc.contributor.authorHuy Ngo Hoang-
dc.contributor.authorTuyet Dao Van-
dc.contributor.authorAblameyko, S.-
dc.date.accessioned2021-03-02T10:54:05Z-
dc.date.available2021-03-02T10:54:05Z-
dc.date.issued2020-
dc.identifier.citationNonlinear Phenomena in Complex Systems. - 2020. - Vol. 23. - № 1. - P. 79-89ru
dc.identifier.issn1561-4085-
dc.identifier.urihttps://elib.bsu.by/handle/123456789/256827-
dc.description.abstractThe efficient manifold ranking (EMR) algorithm is used quite effectively in content-based image retrieval (CBIR) for large image databases where images are represented by multiple low-level features to describe about the color, texture and shape. The EMR ranking algorithm requires steps to determine anchor points of the image database by using the k-means hard clustering and the accuracy of the ranking depends strongly on the selected anchor points. This paper describes a new result based on a modified Fuzzy C-Means (FCM) clustering algorithm to select anchor points in the large database in order to increase the efficiency of manifold ranking specially for the large database cases. Experiments have demonstrated the effectiveness of the proposed algorithm for the issue of building an anchor graph, the set of anchor points determined by this novel lvdc-FCM algorithm has actually increased the effective of manifold ranking and the quality of images query results which retrieved of the CBIR.ru
dc.language.isoenru
dc.publisherMinsk : Education and Upbringingru
dc.rightsinfo:eu-repo/semantics/restrictedAccessen
dc.subjectЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Физикаru
dc.titleA modified Efficient Manifold Ranking Algorithm for Large Database Image Retrievalru
dc.typearticleen
dc.rights.licenseCC BY 4.0ru
dc.identifier.DOIhttps://doi.org/10.33581/1561-4085-2020-23-1-79-89-
Appears in Collections:2020. Volume 23. Number 1

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