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dc.contributor.author문영식-
dc.date.accessioned2019-06-17T23:53:56Z-
dc.date.available2019-06-17T23:53:56Z-
dc.date.issued2007-07-
dc.identifier.citation대한전자공학회 2007년도 하계종합학술대회 논문집Ⅰ(통신/신호처리/산업전자), v. 30, No. 1, Page. 387-388en_US
dc.identifier.urihttp://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE06321266&language=ko_KR-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/106702-
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.en_US
dc.language.isoko_KRen_US
dc.publisher대한전자공학회en_US
dc.title지역적 질감 패턴의 푸리에 변환을 이용한 영상 검색en_US
dc.title.alternativeImage Retrieval Using Fourier Transform of Local Texture Patternen_US
dc.typeArticleen_US
dc.contributor.googleauthor장경현-
dc.contributor.googleauthor박기태-
dc.contributor.googleauthor문영식-
dc.sector.campusE-
dc.sector.daehakCOLLEGE OF COMPUTING[E]-
dc.sector.departmentDIVISION OF COMPUTER SCIENCE-
dc.identifier.pidysmoon-
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COLLEGE OF COMPUTING[E](소프트웨어융합대학) > COMPUTER SCIENCE(소프트웨어학부) > Articles
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