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Conference Paper: Adaptive color histogram indexing

TitleAdaptive color histogram indexing
Authors
Ng, VincentCheung, David WFu, Ada
KeywordsColor histograms
R-trees
Image databases
Issue Date1995
PublisherS P I E - International Society for Optical Engineering. The Journal's web site is located at http://spie.org/x1848.xml
Citation
Proceedings Of Spie - The International Society For Optical Engineering, 1995, v. 2606, p. 202-211 How to Cite?
DOI: http://dx.doi.org/10.1117/12.227243
AbstractIn this paper, we develop an indexing scheme for medical images. In general, for a given medical image, there are objects which are clinically important amongst the rest. We name the objects as the dominant objects. Our proposed index is composed of three parts: (1) dominant objects in images are located; (2) each image will have an associated R-tree which is constructed by its dominant objects; and (3) an R-tree that clusters similar images together. To demonstrate the effectiveness of the index developed, we use images of skin lesions as the image data. Our initial experiments give promising results for image retrieval.
Persistent Identifierhttp://hdl.handle.net/10722/45550
ISSN
0277-786X
2023 SCImago Journal Rankings: 0.152

 

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dc.contributor.authorNg, Vincenten_HK
dc.contributor.authorCheung, David Wen_HK
dc.contributor.authorFu, Adaen_HK
dc.date.accessioned2007-10-30T06:28:58Z-
dc.date.available2007-10-30T06:28:58Z-
dc.date.issued1995en_HK
dc.identifier.citationProceedings Of Spie - The International Society For Optical Engineering, 1995, v. 2606, p. 202-211en_HK
dc.identifier.issn0277-786Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/45550-
dc.description.abstractIn this paper, we develop an indexing scheme for medical images. In general, for a given medical image, there are objects which are clinically important amongst the rest. We name the objects as the dominant objects. Our proposed index is composed of three parts: (1) dominant objects in images are located; (2) each image will have an associated R-tree which is constructed by its dominant objects; and (3) an R-tree that clusters similar images together. To demonstrate the effectiveness of the index developed, we use images of skin lesions as the image data. Our initial experiments give promising results for image retrieval.en_HK
dc.format.extent559316 bytes-
dc.format.extent6619 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherS P I E - International Society for Optical Engineering. The Journal's web site is located at http://spie.org/x1848.xmlen_HK
dc.relation.ispartofProceedings of SPIE - The International Society for Optical Engineeringen_HK
dc.rightsCopyright 1995 Society of Photo‑Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, and modification of the contents of the publication are prohibited. This article is available online at https://doi.org/10.1117/12.227243-
dc.subjectColor histogramsen_HK
dc.subjectR-treesen_HK
dc.subjectImage databasesen_HK
dc.titleAdaptive color histogram indexingen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0277-786X&volume=2606&spage=202&epage=211&date=1995&atitle=Adaptive+color+histogram+indexingen_HK
dc.identifier.emailCheung, David W:dcheung@cs.hku.hken_HK
dc.identifier.authorityCheung, David W=rp00101en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1117/12.227243en_HK
dc.identifier.scopuseid_2-s2.0-0029520920en_HK
dc.identifier.hkuros12626-
dc.identifier.volume2606en_HK
dc.identifier.spage202en_HK
dc.identifier.epage211en_HK
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridNg, Vincent=7102162966en_HK
dc.identifier.scopusauthoridCheung, David W=34567902600en_HK
dc.identifier.scopusauthoridFu, Ada=25957576800en_HK
dc.identifier.issnl0277-786X-

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