On Color Cluster Analysis with Three-dimensional Fuzzy Color Ball
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김대원 | - |
dc.date.available | 2019-07-31T04:57:48Z | - |
dc.date.issued | 2008-04 | - |
dc.identifier.issn | 1976-9172 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/30969 | - |
dc.description.abstract | The focus of this paper is on devising an efficient clustering task for arbitrary color data. In order to tackle this problem, the inherent uncertainty and vagueness of color are represented by a fuzzy color model. By taking a fuzzy approach to color representation, the proposed model makes a soft decision for the vague regions between neighboring colors. A definition on a three-dimensional fuzzy color ball is introduced, and the degree of membership of color is computed by employing a distance measure between a fuzzy color and color data. With the fuzzy color model, a novel fuzzy clustering algorithm for efficient partition of color data is developed. | - |
dc.format.extent | 6 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | 한국지능시스템학회 | - |
dc.title | On Color Cluster Analysis with Three-dimensional Fuzzy Color Ball | - |
dc.type | Article | - |
dc.identifier.bibliographicCitation | 한국지능시스템학회 논문지, v.18, no.2, pp 262 - 267 | - |
dc.identifier.kciid | ART001232655 | - |
dc.description.isOpenAccess | N | - |
dc.citation.endPage | 267 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 262 | - |
dc.citation.title | 한국지능시스템학회 논문지 | - |
dc.citation.volume | 18 | - |
dc.publisher.location | 대한민국 | - |
dc.subject.keywordAuthor | Fuzzy color | - |
dc.subject.keywordAuthor | fuzzy clustering | - |
dc.subject.keywordAuthor | color space | - |
dc.subject.keywordAuthor | color clustering | - |
dc.description.journalRegisteredClass | kci | - |
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