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Conference Paper: Medical images retrieval by color content

TitleMedical images retrieval by color content
Authors
KeywordsComputers
Cybernetics
Issue Date1995
PublisherIEEE.
Citation
The 1995 IEEE International Conference on Systems, Man, and Cybernetics Conference Proceedings, Vancouver, BC., Canada, 22-25 Octoober 1995, v. 3, p. 1980-1985 How to Cite?
AbstractWe develop an indexing scheme for medical images. In general, for a given medical image, there is one object which is clinically important amongst the rest. We name this object the dominant object. Our proposed index is composed of three parts: (1) the dominant objects in images are standardized; (2) each image will have its own quadtree constructed which depends on the color composition and the color variation in the image; and (3) an R-tree that supports the retrieval of color images. To demonstrate the effectiveness of the index developed, we use images of skin lesions as the image data. Our initial experiments gives promising results for image retrieval.
DescriptionConference Theme: Intelligent Systems for the 21st Century
Persistent Identifierhttp://hdl.handle.net/10722/45549
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorNg, Ven_HK
dc.contributor.authorCheung, DWLen_HK
dc.contributor.authorFu, Aen_HK
dc.date.accessioned2007-10-30T06:28:57Z-
dc.date.available2007-10-30T06:28:57Z-
dc.date.issued1995en_HK
dc.identifier.citationThe 1995 IEEE International Conference on Systems, Man, and Cybernetics Conference Proceedings, Vancouver, BC., Canada, 22-25 Octoober 1995, v. 3, p. 1980-1985en_HK
dc.identifier.issn1062-922Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/45549-
dc.descriptionConference Theme: Intelligent Systems for the 21st Century-
dc.description.abstractWe develop an indexing scheme for medical images. In general, for a given medical image, there is one object which is clinically important amongst the rest. We name this object the dominant object. Our proposed index is composed of three parts: (1) the dominant objects in images are standardized; (2) each image will have its own quadtree constructed which depends on the color composition and the color variation in the image; and (3) an R-tree that supports the retrieval of color images. To demonstrate the effectiveness of the index developed, we use images of skin lesions as the image data. Our initial experiments gives promising results for image retrieval.en_HK
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.rights©1995 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectComputersen_HK
dc.subjectCyberneticsen_HK
dc.titleMedical images retrieval by color contenten_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1062-922X&volume=3&spage=1980&epage=1985&date=1995&atitle=Medical+images+retrieval+by+color+contenten_HK
dc.identifier.emailCheung, DWL: dcheung@cs.hku.hk-
dc.identifier.authorityCheung, DWL=rp00101-
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/ICSMC.1995.538068en_HK
dc.identifier.scopuseid_2-s2.0-0029512807-
dc.identifier.hkuros12625-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0029512807&selection=ref&src=s&origin=recordpage-
dc.identifier.volume3-
dc.identifier.spage1980-
dc.identifier.epage1985-
dc.identifier.scopusauthoridNg, Vincent=7102162966-
dc.identifier.scopusauthoridCheung, David=34567902600-
dc.identifier.scopusauthoridFu, Ada=25957576800-
dc.identifier.citeulike3576121-
dc.customcontrol.immutablesml 151026 - merged-

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