A novel initialization scheme for the fuzzy c-means algorithm for color clustering
DC Field | Value | Language |
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dc.contributor.author | Kim, Dae-Won | - |
dc.contributor.author | Lee, K.H. | - |
dc.contributor.author | Lee, D. | - |
dc.date.available | 2020-06-16T02:21:43Z | - |
dc.date.issued | 2004-01 | - |
dc.identifier.issn | 0167-8655 | - |
dc.identifier.issn | 1872-7344 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/40669 | - |
dc.description.abstract | A novel initialization scheme for the fuzzy c-means (FCM) algorithm is proposed for the color clustering problem. Given a set of color points, the proposed initialization scheme extracts the most vivid and distinguishable colors, referred to here as the dominant colors. The color points closest to these dominant colors are selected as the initial centroids in the FCM calculations. To obtain the dominant colors and their closest color points, we introduce reference colors and define a fuzzy membership model between a color point and a reference color. The effectiveness and reliability of the proposed method is demonstrated through various color clustering examples. (C) 2003 Elsevier B.V. All rights reserved. | - |
dc.format.extent | 11 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | ELSEVIER SCIENCE BV | - |
dc.title | A novel initialization scheme for the fuzzy c-means algorithm for color clustering | - |
dc.type | Article | - |
dc.identifier.doi | 10.1016/j.patrec.2003.10.004 | - |
dc.identifier.bibliographicCitation | PATTERN RECOGNITION LETTERS, v.25, no.2, pp 227 - 237 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000187720000009 | - |
dc.identifier.scopusid | 2-s2.0-0346847564 | - |
dc.citation.endPage | 237 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 227 | - |
dc.citation.title | PATTERN RECOGNITION LETTERS | - |
dc.citation.volume | 25 | - |
dc.type.docType | Article | - |
dc.publisher.location | 네델란드 | - |
dc.subject.keywordAuthor | fuzzy clustering | - |
dc.subject.keywordAuthor | color clustering | - |
dc.subject.keywordAuthor | centroid initialization | - |
dc.subject.keywordAuthor | fuzzy c-means | - |
dc.subject.keywordAuthor | color membership | - |
dc.subject.keywordPlus | IMAGE SEGMENTATION | - |
dc.subject.keywordPlus | CLASSIFICATION | - |
dc.subject.keywordPlus | SYSTEM | - |
dc.subject.keywordPlus | SPACE | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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