Content-based image retrieval using color and spatial informaton
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Chang, H.W. | - |
dc.contributor.author | Kang, E.K. | - |
dc.contributor.author | Choi, J.S. | - |
dc.date.accessioned | 2023-03-09T03:47:52Z | - |
dc.date.available | 2023-03-09T03:47:52Z | - |
dc.date.issued | 2001-04 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/66214 | - |
dc.description.abstract | In this paper, we propose a new content-based image retrieval method by using color and color spatial information of an image. To index images, we use the average coordinates of color distribution to obtain the spatial information of each segmented fuzzy region that is less sensitive to image rotation and object translations in an image. Furthermore, we also propose the alternative to solve the ripple phenomenon, which is occurred in the conventional fuzzy region segmentation algorithm and distorted the information of other regions. | - |
dc.format.extent | 4 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.title | Content-based image retrieval using color and spatial informaton | - |
dc.type | Article | - |
dc.identifier.bibliographicCitation | 22nd Picture Coding Symposium, pp 259 - 262 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.scopusid | 2-s2.0-0035785345 | - |
dc.citation.endPage | 262 | - |
dc.citation.startPage | 259 | - |
dc.citation.title | 22nd Picture Coding Symposium | - |
dc.type.docType | Conference Paper | - |
dc.subject.keywordPlus | Algorithms | - |
dc.subject.keywordPlus | Database systems | - |
dc.subject.keywordPlus | Feature extraction | - |
dc.subject.keywordPlus | Image processing | - |
dc.subject.keywordPlus | Multimedia systems | - |
dc.subject.keywordPlus | Visual information | - |
dc.subject.keywordPlus | Image retrieval | - |
dc.description.journalRegisteredClass | scopus | - |
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