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Binary partition tree as an efficient representation for image processing, segmentation, and information retrieval
dc.contributor.author | Salembier Clairon, Philippe Jean |
dc.contributor.author | Garrido, L |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
dc.date.accessioned | 2013-06-26T16:11:37Z |
dc.date.created | 2000-04 |
dc.date.issued | 2000-04 |
dc.identifier.citation | Salembier, 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.issn | 1057-7149 |
dc.identifier.uri | http://hdl.handle.net/2117/19685 |
dc.description.abstract | This 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.extent | 16 p. |
dc.language.iso | eng |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal |
dc.subject.lcsh | Signal processing |
dc.subject.lcsh | Image processing |
dc.subject.other | Filtering theory |
dc.subject.other | Image representation |
dc.subject.other | Image retrieval: Image segmentation |
dc.subject.other | Trees (mathematics) |
dc.title | Binary partition tree as an efficient representation for image processing, segmentation, and information retrieval |
dc.type | Article |
dc.subject.lemac | Tractament del senyal |
dc.subject.lemac | Imatges -- Processament |
dc.contributor.group | Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo |
dc.identifier.doi | 10.1109/83.841934 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=841934 |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 1659366 |
dc.description.version | Postprint (published version) |
dc.date.lift | 10000-01-01 |
local.citation.author | Salembier, P.; Garrido, L. |
local.citation.publicationName | IEEE transactions on image processing |
local.citation.volume | 9 |
local.citation.number | 4 |
local.citation.startingPage | 561 |
local.citation.endingPage | 576 |
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