Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/1973
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Şirin, Yahya | - |
dc.contributor.author | Demirci, Muhammed Fatih | - |
dc.date.accessioned | 2019-07-10T14:42:43Z | |
dc.date.available | 2019-07-10T14:42:43Z | |
dc.date.issued | 2014 | |
dc.identifier.citation | Şirin, Y., & Demirci, M. F. (2014, April). Efficient shape recognition with skeleton filling rate. In 2014 22nd Signal Processing and Communications Applications Conference (SIU)(pp. 441-444). IEEE. | en_US |
dc.identifier.isbn | 978-1-4799-4874-1 | |
dc.identifier.issn | 2165-0608 | |
dc.identifier.uri | https://ieeexplore.ieee.org/document/6830260 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.11851/1973 | - |
dc.description | 22nd IEEE Signal Processing and Communications Applications Conference (SIU) (2014 : Trabzon, TURKEY) | |
dc.description.abstract | As an increasing number of digital images are generated, a demand for an efficient and effective image retrieval mechanisms grows. In this work, we present a new skeleton-based shape retrieval algorithm, which starts by drawing circles of increasing radius around skeleton points. Since each skeleton corresponds to the center of a maximally inscribed circle, this process results in circles that are partially inside the shape. Computing the ratio between pixels that lie within the shape and the total number of pixels allows us to distinguish shapes with similar skeletons. Experimental evaluation of the proposed approach including a comparison with the previous techniques demonstrates both effectiveness and robustness of our algorithm for shape retrieval experiments. | en_US |
dc.language.iso | tr | en_US |
dc.publisher | IEEE | en_US |
dc.relation.ispartof | Signal Processing and Communications Applications Conference | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Shape recognition | en_US |
dc.subject | Shape representation | en_US |
dc.subject | Earth Mover's Distance | en_US |
dc.title | Efficient Shape Recognition With Skeleton Filling Rate | en_US |
dc.title.alternative | İskelet Doldurma Oranı ile Verimli Şekil Tanıma | en_US |
dc.type | Conference Object | en_US |
dc.department | Faculties, Faculty of Engineering, Department of Computer Engineering | en_US |
dc.department | Fakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü | tr_TR |
dc.identifier.startpage | 441 | |
dc.identifier.endpage | 444 | |
dc.identifier.wos | WOS:000356351400090 | en_US |
dc.identifier.scopus | 2-s2.0-84903789584 | en_US |
dc.institutionauthor | Demirci, Muhammed Fatih | - |
dc.identifier.doi | 10.1109/SIU.2014.6830260 | - |
dc.authorscopusid | 14041575400 | - |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.identifier.scopusquality | - | - |
item.openairetype | Conference Object | - |
item.languageiso639-1 | tr | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
crisitem.author.dept | 02.3. 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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