Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6376
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dc.contributor.authorŞirin, Yahya-
dc.contributor.authorDemirci, Muhammed Fatih-
dc.date.accessioned2021-09-11T15:36:07Z-
dc.date.available2021-09-11T15:36:07Z-
dc.date.issued2013en_US
dc.identifier.citation21st Signal Processing and Communications Applications Conference (SIU) -- APR 24-26, 2013 -- CYPRUSen_US
dc.identifier.isbn978-1-4673-5563-6; 978-1-4673-5562-9-
dc.identifier.issn2165-0608-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/6376-
dc.description.abstractResearch on shape recognition has shown that a number of recognition approaches in the literature are sensitive to rotation. In this work, we present a shape description technique, which is based on the local shape filling rate of object silhouettes. After drawing circles of increasing radius around each skeleton point, we compute the ratio between pixels that lie within the shape and the total number of pixels in each circle. Experimental evaluation of the proposed approach including a comparison with the previous technique demonstrates effectiveness of our algorithm for a shape retrieval experiment.en_US
dc.language.isotren_US
dc.publisherIEEEen_US
dc.relation.ispartof2013 21St Signal Processing And Communications Applications Conference (Siu)en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectshape recognitionen_US
dc.subjectshape descriptoren_US
dc.titleCircle Filling Rate Descriptor for Object Recognitionen_US
dc.typeConference Objecten_US
dc.relation.ispartofseriesSignal Processing and Communications Applications Conferenceen_US
dc.departmentFaculties, Faculty of Engineering, Department of Computer Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümütr_TR
dc.identifier.wosWOS:000325005300003en_US
dc.identifier.scopus2-s2.0-84880861411en_US
dc.institutionauthorDemirci, Muhammed Fatih-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.relation.conference21st Signal Processing and Communications Applications Conference (SIU)en_US
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1tr-
item.cerifentitytypePublications-
item.openairetypeConference Object-
item.grantfulltextnone-
crisitem.author.dept02.3. Department of Computer Engineering-
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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