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지역적 질감 패턴의 푸리에 변환을 이용한 영상 검색

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dc.contributor.author장경현-
dc.contributor.author박기태-
dc.contributor.author문영식-
dc.date.accessioned2021-06-23T19:37:52Z-
dc.date.available2021-06-23T19:37:52Z-
dc.date.issued2007-07-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/43548-
dc.description.abstractIn this paper, a content-based image retrieval method considering both local information and spatial correlation of image is proposed. In order to efficiently represent the spatial correlation, texture structure is classified into three kinds of pattern. In experiment result, our method improves 3.94% ~ 11.23% precision rate over the existing methods.-
dc.format.extent2-
dc.language한국어-
dc.language.isoKOR-
dc.publisher대한전자공학회-
dc.title지역적 질감 패턴의 푸리에 변환을 이용한 영상 검색-
dc.title.alternativeImage Retrieval Using Fourier Transform of Local Texture Pattern-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.bibliographicCitation2007년도 대한전자공학회 하계종합학술대회 논문집, v.30, no.1, pp 387 - 388-
dc.citation.title2007년도 대한전자공학회 하계종합학술대회 논문집-
dc.citation.volume30-
dc.citation.number1-
dc.citation.startPage387-
dc.citation.endPage388-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassother-
dc.identifier.urlhttps://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE06321266-
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