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dc.contributor.authorMartinez-Ortiz, Carlosen
dc.contributor.authorŽunić, Jovišaen
dc.date.accessioned2020-05-01T20:28:57Z-
dc.date.available2020-05-01T20:28:57Z-
dc.date.issued2010-01-01en
dc.identifier.issn0031-3203en
dc.identifier.urihttp://researchrepository.mi.sanu.ac.rs/handle/123456789/1915-
dc.description.abstractDetermining the orientation of a shape is a common task in many image processing applications. It is usually part of the image preprocessing stages and further processing may rely on an adequate method to determine the orientation. There are several methods for computing the orientation of a shape, each of them with its own strengths and weaknesses; a method which performs outstandingly for one application may have a poor performance for a different application. In this paper we present a new method for computing shape orientation based on the projection of the tangent vectors of a shape onto a line and weighting them using a function of the curvature. Some of the results from Žunić (2008) [14] are particular cases of the results presented here.en
dc.publisherElsevier-
dc.relation.ispartofPattern Recognitionen
dc.subjectEarly vision | Gradient | Image normalisation | Orientation | Shape | Shape boundaryen
dc.titleCurvature weighted gradient based shape orientationen
dc.typeArticleen
dc.identifier.doi10.1016/j.patcog.2010.03.026en
dc.identifier.scopus2-s2.0-79960347226en
dc.contributor.affiliationMathematical Institute of the Serbian Academy of Sciences and Arts-
dc.relation.firstpage3035en
dc.relation.lastpage3041en
dc.relation.issue9en
dc.relation.volume43en
dc.description.rankM21a-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeArticle-
item.grantfulltextnone-
item.fulltextNo Fulltext-
crisitem.author.orcid0000-0002-1271-4153-
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