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dc.contributor.authorMartinez-Ortiz, Carlosen_US
dc.contributor.authorŽunić, Dragišaen_US
dc.contributor.authorŽunić, Jovišaen_US
dc.date.accessioned2025-03-27T12:43:01Z-
dc.date.available2025-03-27T12:43:01Z-
dc.date.issued2011-
dc.identifier.isbn9781467307529-
dc.identifier.urihttp://researchrepository.mi.sanu.ac.rs/handle/123456789/5501-
dc.description.abstractThis paper introduces a family of rectangularity measures. Several rectangularity measures already exist in literature, and all of them evaluate how much the shape considered differs from a perfect rectangle. But all existing measures assume that all rectangles have the same shape, and a consequence is that these measures do not distinguish among the rectangles whose edge-ration differs. In this paper we consider that differently elongated rectangles have different shape and propose a family of new rectangularity measures which distinguish among such rectangles. New rectangularity measures are invariant with respect to translation, rotation and scaling transformations. In addition, we introduce a tuning parameter which enables an additional flexibility of the new measures with respect to performing applications.en_US
dc.publisherIEEEen_US
dc.subjectimage processing | image retrieval | measuring shape | rectangularity | Shapeen_US
dc.titleMeasuring shape rectangularitiesen_US
dc.typeConference Paperen_US
dc.relation.conference2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)en_US
dc.identifier.doi10.1109/ISSPIT.2011.6151590-
dc.identifier.scopus2-s2.0-84857828728-
dc.contributor.affiliationMathematical Institute of the Serbian Academy of Sciences and Artsen_US
dc.relation.firstpage369-
dc.relation.lastpage374-
dc.description.rankM33-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.openairetypeConference Paper-
item.grantfulltextnone-
crisitem.author.orcid0000-0002-1271-4153-
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