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dc.contributor.authorStojmenović, Milošen
dc.contributor.authorŽunić, Jovišaen
dc.date.accessioned2020-05-01T20:28:58Z-
dc.date.available2020-05-01T20:28:58Z-
dc.date.issued2008-01-01en
dc.identifier.issn0924-9907en
dc.identifier.urihttp://researchrepository.mi.sanu.ac.rs/handle/123456789/1924-
dc.description.abstractShape elongation is one of the basic shape descriptors that has a very clear intuitive meaning. That is the reason for its applicability in many shape classification tasks. In this paper we define a new method for computing shape elongation. The new measure is boundary based and uses all the boundary points. We start with shapes having polygonal boundaries. After that we extend the method to shapes with arbitrary boundaries. The new elongation measure converges when the assigned polygonal approximation converges toward a shape. We express the measure with closed formulas in both cases: for polygonal shapes and for arbitrary shapes. The new measure finds the elongation for shapes whose boundary is not extracted completely, which is impossible to achieve with area based measures.en
dc.publisherSpringer Link-
dc.relation.ispartofJournal of Mathematical Imaging and Visionen
dc.subjectComputer vision | Early vision | Elongation | Image processing | Orientation | Shapeen
dc.titleMeasuring elongation from shape boundaryen
dc.typeArticleen
dc.identifier.doi10.1007/s10851-007-0039-0en
dc.identifier.scopus2-s2.0-37749009381en
dc.relation.firstpage73en
dc.relation.lastpage85en
dc.relation.issue1en
dc.relation.volume30en
dc.description.rankM21a-
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.fulltextNo Fulltext-
crisitem.author.orcid0000-0002-1271-4153-
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