Binary partition tree as an efficient representation for image processing, segmentation, and information retrieval
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Tipus de documentArticle
Data publicació2000-04
Condicions d'accésAccés restringit per política de l'editorial
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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.
CitacióSalembier, 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.
ISSN1057-7149
Versió de l'editorhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=841934
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