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dc.contributor.authorAktaş, Mehmet Alien_US
dc.contributor.authorŽunić, Jovišaen_US
dc.date.accessioned2025-03-27T10:41:33Z-
dc.date.available2025-03-27T10:41:33Z-
dc.date.issued2011-09-20-
dc.identifier.isbn9783642236716-
dc.identifier.issn0302-9743-
dc.identifier.urihttp://researchrepository.mi.sanu.ac.rs/handle/123456789/5486-
dc.description.abstractA new ellipticity measure is proposed in this paper. The acquired shape descriptor shows how much the shape considered differs from a perfect ellipse. It is invariant to scale, translation, rotation and it is robust to noise and distortions. The new ellipticity measure ranges over (0, 1] and gives 1 if and only if the measured shape is an ellipse. The proposed measure is theoretically well founded, implying that the behaviour of the new measure can be well understand and predicted to some extent, what is always an advantage when select the set of descriptors for a certain application. Several experiments are provided to illustrate the behaviour and performance of the new measure.en_US
dc.publisherSpringer Linken_US
dc.relation.ispartofseriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en_US
dc.subjectearly vision | Shape | shape descriptors | shape ellipticityen_US
dc.titleMeasuring shape ellipticityen_US
dc.typeConference Paperen_US
dc.relation.conference14th International Conference, CAIP 2011, Seville, Spain, August 29-31, 2011en_US
dc.relation.publicationComputer Analysis of Images and Patternsen_US
dc.identifier.doi10.1007/978-3-642-23672-3_21-
dc.identifier.scopus2-s2.0-80052796265-
dc.contributor.affiliationMathematical Institute of the Serbian Academy of Sciences and Artsen_US
dc.relation.firstpage170-
dc.relation.lastpage177-
dc.description.rankM33-
item.fulltextNo Fulltext-
item.openairetypeConference Paper-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.orcid0000-0002-1271-4153-
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