Please use this identifier to cite or link to this item: https://olympias.lib.uoi.gr/jspui/handle/123456789/10731
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dc.contributor.authorFudos, I.en
dc.contributor.authorPalios, L.en
dc.date.accessioned2015-11-24T17:00:14Z-
dc.date.available2015-11-24T17:00:14Z-
dc.identifier.issn0167-8655-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/10731-
dc.rightsDefault Licence-
dc.subjectimage retrievalen
dc.subjectshape-based matchingen
dc.subjectaverage hausdorffen
dc.subjectpolylog algorithmen
dc.subjectgeometric hashingen
dc.subjectsimilarityen
dc.titleAn efficient shape-based approach to image retrievalen
heal.typejournalArticle-
heal.type.enJournal articleen
heal.type.elΆρθρο Περιοδικούel
heal.languageen-
heal.accesscampus-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μηχανικών Ηλεκτρονικών Υπολογιστών και Πληροφορικήςel
heal.publicationDate2002-
heal.abstractWe consider the problem of finding the best match for a given query shape among candidate shapes stored in a shape base. This is central to a wide range of applications, such as, digital libraries, digital film databases, environmental sciences, and satellite image repositories. We present an efficient matching algorithm built around a novel similarity criterion and based on shape normalization about the shape's diameter, which reduces the effects of noise or limited accuracy during the shape extraction procedure. Our matching algorithm works by gradually "fattening" the query shape until the best match is discovered. The algorithm exhibits poly-logarithmic time behavior assuming uniform distribution of the shape vertices in the locus of their normalized positions. (C) 2002 Elsevier Science B.V. All rights reserved.en
heal.journalNamePattern Recognition Lettersen
heal.journalTypepeer reviewed-
heal.fullTextAvailabilityTRUE-
Appears in Collections:Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά)

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