Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 문영식 | - |
dc.date.accessioned | 2019-06-17T23:53:56Z | - |
dc.date.available | 2019-06-17T23:53:56Z | - |
dc.date.issued | 2007-07 | - |
dc.identifier.citation | 대한전자공학회 2007년도 하계종합학술대회 논문집Ⅰ(통신/신호처리/산업전자), v. 30, No. 1, Page. 387-388 | en_US |
dc.identifier.uri | http://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE06321266&language=ko_KR | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/106702 | - |
dc.description.abstract | In 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.iso | ko_KR | en_US |
dc.publisher | 대한전자공학회 | en_US |
dc.title | 지역적 질감 패턴의 푸리에 변환을 이용한 영상 검색 | en_US |
dc.title.alternative | Image Retrieval Using Fourier Transform of Local Texture Pattern | en_US |
dc.type | Article | en_US |
dc.contributor.googleauthor | 장경현 | - |
dc.contributor.googleauthor | 박기태 | - |
dc.contributor.googleauthor | 문영식 | - |
dc.sector.campus | E | - |
dc.sector.daehak | COLLEGE OF COMPUTING[E] | - |
dc.sector.department | DIVISION OF COMPUTER SCIENCE | - |
dc.identifier.pid | ysmoon | - |
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