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The content-based image retrieval method using multiple features

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dc.contributor.authorHa, J.-Y.-
dc.contributor.authorKim, G.-Y.-
dc.contributor.authorChoi, H.-I.-
dc.date.available2019-04-10T11:20:03Z-
dc.date.created2018-04-17-
dc.date.issued2008-
dc.identifier.isbn9780769533223-
dc.identifier.urihttp://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/33657-
dc.description.abstractIn this paper, we propose an image retrieval method using color feature and shape feature. We suggest CBIRContent Based Image Retrieval) method using color and shape information. Using just one feature information may cause inaccuracy compared with using more than two feature information. Therefore many image retrieval system use many feature information like color, shape and other features. We use two feature, HSI color information especially Hue value and CSS(Curvature Scale Space) as shape information. We search candidate image form DB which include feature information of many images. As a result, we show that good results can be obtained by color and shape feature. When we use two features, we could approach better result. © 2008 IEEE.-
dc.relation.isPartOfProceedings - 4th International Conference on Networked Computing and Advanced Information Management, NCM 2008-
dc.titleThe content-based image retrieval method using multiple features-
dc.typeConference-
dc.identifier.doi10.1109/NCM.2008.220-
dc.type.rimsCONF-
dc.identifier.bibliographicCitation4th International Conference on Networked Computing and Advanced Information Management, NCM 2008, v.1, pp.652 - 657-
dc.description.journalClass2-
dc.identifier.scopusid2-s2.0-57849130802-
dc.citation.conferenceDate2008-09-02-
dc.citation.conferencePlaceGyeongju-
dc.citation.endPage657-
dc.citation.startPage652-
dc.citation.title4th International Conference on Networked Computing and Advanced Information Management, NCM 2008-
dc.citation.volume1-
dc.contributor.affiliatedAuthorKim, G.-Y.-
dc.contributor.affiliatedAuthorChoi, H.-I.-
dc.type.docTypeConference Paper-
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