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dc.contributor.authorSalembier Clairon, Philippe Jean
dc.contributor.authorGarrido, L
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2013-06-26T16:11:37Z
dc.date.created2000-04
dc.date.issued2000-04
dc.identifier.citationSalembier, P.; Garrido, L. Binary partition tree as an efficient representation for image processing, segmentation, and information retrieval. "IEEE transactions on image processing", Abril 2000, vol. 9, núm. 4, p. 561-576.
dc.identifier.issn1057-7149
dc.identifier.urihttp://hdl.handle.net/2117/19685
dc.description.abstractThis paper discusses the interest of binary partition trees as a region-oriented image representation. Binary partition trees concentrate in a compact and structured representation a set of meaningful regions that can be extracted from an image. They offer a multiscale representation of the image and define a translation invariant 2-connectivity rule among regions. As shown in this paper, this representation can be used for a large number of processing goals such as filtering, segmentation, information retrieval and visual browsing. Furthermore, the processing of the tree representation leads to very efficient algorithms. Finally, for some applications, it may be interesting to compute the binary partition tree once and to store it for subsequent use for various applications. In this context, the last section of the paper will show that the amount of bits necessary to encode a binary partition tree remains moderate.
dc.format.extent16 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal
dc.subject.lcshSignal processing
dc.subject.lcshImage processing
dc.subject.otherFiltering theory
dc.subject.otherImage representation
dc.subject.otherImage retrieval: Image segmentation
dc.subject.otherTrees (mathematics)
dc.titleBinary partition tree as an efficient representation for image processing, segmentation, and information retrieval
dc.typeArticle
dc.subject.lemacTractament del senyal
dc.subject.lemacImatges -- Processament
dc.contributor.groupUniversitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo
dc.identifier.doi10.1109/83.841934
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=841934
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac1659366
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorSalembier, P.; Garrido, L.
local.citation.publicationNameIEEE transactions on image processing
local.citation.volume9
local.citation.number4
local.citation.startingPage561
local.citation.endingPage576


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Attribution-NonCommercial-NoDerivs 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain