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Color Image Indexing by Combining Spatial Color and Texture Descriptors

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dc.contributor.authorPark, Ki tae-
dc.contributor.authorShin, Do Kyung-
dc.contributor.authorMoon, Young Shik-
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/43547-
dc.description.abstractIn this paper, we propose a technique for retrieving images using spatial color correlation and texture characteristics based on local fourier transform. As experimental results, while the proposed color descriptor includes by rar smaller feature vector over color correlogram, the proposed color descriptor improves 2.5%~13.21% precision rate, compared with color corelogram. In addition, we propose a another descriptor which combines the proposed color descriptor and texture characteristiecs based on local fourier transform. The combined method reduces size of feature vector as well as shows improved results over existing methods.-
dc.format.extent2-
dc.language영어-
dc.language.isoENG-
dc.publisher대한전자공학회-
dc.titleColor Image Indexing by Combining Spatial Color and Texture Descriptors-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.bibliographicCitationThe 22nd International Technical Conference on Circuits/Systems, Computers and Communications, pp 400 - 401-
dc.citation.titleThe 22nd International Technical Conference on Circuits/Systems, Computers and Communications-
dc.citation.startPage400-
dc.citation.endPage401-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassother-
dc.identifier.urlhttps://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE01599704-
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