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Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/111156
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dc.titleColor matching for image retrieval
dc.contributor.authorMehtre, B.M.
dc.contributor.authorKankanhalli, M.S.
dc.contributor.authorDesai Narasimhalu, A.
dc.contributor.authorChang Man, G.
dc.date.accessioned2014-11-27T09:45:11Z
dc.date.available2014-11-27T09:45:11Z
dc.date.issued1995-03
dc.identifier.citationMehtre, B.M.,Kankanhalli, M.S.,Desai Narasimhalu, A.,Chang Man, G. (1995-03). Color matching for image retrieval. Pattern Recognition Letters 16 (3) : 325-331. ScholarBank@NUS Repository.
dc.identifier.issn01678655
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/111156
dc.description.abstractColor is an important attribute for image matching and retrieval. We present two new color matching methods, the "Reference Color Table Method" and a "Distance Method", for image retrieval. Both these methods and an existing method "Histogram Intersection" were implemented and tested for a database size of 170 color images. To compare the efficacy of each method, a figure of merit, called "Efficiency of Retrieval", is defined. The results show that both the new methods perform better than the existing method, and that the Reference Color Table Method gives the best results. © 1995.
dc.sourceScopus
dc.subjectColor
dc.subjectDistance
dc.subjectMatching
dc.subjectMeasure
dc.subjectRetrieval
dc.typeArticle
dc.contributor.departmentINSTITUTE OF SYSTEMS SCIENCE
dc.description.sourcetitlePattern Recognition Letters
dc.description.volume16
dc.description.issue3
dc.description.page325-331
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

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