Registration and Optimization in Fintropic Graphs Using Branch Skeleton Features
| dc.contributor.author | Ergün, Aslı | |
| dc.contributor.author | Ergün, Serkan | |
| dc.contributor.author | Ünlü, Mehmet Zübeyir | |
| dc.contributor.author | Güngör, Cengiz | |
| dc.contributor.other | 03.05. Department of Electrical and Electronics Engineering | |
| dc.contributor.other | 03. Faculty of Engineering | |
| dc.contributor.other | 01. Izmir Institute of Technology | |
| dc.date.accessioned | 2021-01-24T18:31:40Z | |
| dc.date.available | 2021-01-24T18:31:40Z | |
| dc.date.issued | 2017 | |
| dc.description | 25th Signal Processing and Communications Applications Conference (SIU) | en_US |
| dc.description.abstract | In image registration process, it is necessary to find the similarity of the images and thetranslation, rotation and scaling transformation parameter values that maximize the similarity between the two images. When the similarity measure and related parameters are calculated, information theory based entropic graphs can be used. In this study, similarity and optimization measures are compared on different entropic graphs. It has been seen that skeleton branch feature points to build entropic graphs give successful results. | en_US |
| dc.description.sponsorship | Turk Telekom, Arcelik A S, Aselsan, ARGENIT, HAVELSAN, NETAS, Adresgezgini, IEEE Turkey Sect, AVCR Informat Technologies, Cisco, i2i Syst, Integrated Syst & Syst Design, ENOVAS, FiGES Engn, MS Spektral, Istanbul Teknik Univ | en_US |
| dc.identifier.isbn | 978-1-5090-6494-6 | |
| dc.identifier.issn | 2165-0608 | |
| dc.identifier.uri | https://hdl.handle.net/11147/9915 | |
| dc.language.iso | tr | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
| dc.relation.ispartof | 2017 25th Signal Processing and Communications Applications Conference, SIU 2017 | en_US |
| dc.relation.ispartofseries | Signal Processing and Communications Applications Conference | |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Entropic graphs | en_US |
| dc.subject | image registration | en_US |
| dc.subject | parameter search optimization technique | en_US |
| dc.subject | skeleton branch features | en_US |
| dc.title | Registration and Optimization in Fintropic Graphs Using Branch Skeleton Features | en_US |
| dc.type | Conference Object | en_US |
| dspace.entity.type | Publication | |
| gdc.author.institutional | Ünlü, Mehmet Zübeyir | |
| gdc.author.institutional | Ünlü, Mehmet Zübeyir | |
| gdc.coar.access | metadata only access | |
| gdc.coar.type | text::conference output | |
| gdc.description.department | İzmir Institute of Technology. Electrical and Electronics Engineering | en_US |
| gdc.description.departmenttemp | [Ergun, Asli; Ergun, Serkan; Gungor, Cengiz] Ege Univ, Uluslararasi Bilgisayar Enstitusu, Izmir, Turkey; [Unlu, Mehmet Zubeyir] Izmir Yuksek Teknol Enstitusu, Elekt & Elekt Muhendisligi Bolumu, Izmir, Turkey | en_US |
| gdc.description.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| gdc.description.scopusquality | N/A | |
| gdc.description.wosquality | N/A | |
| gdc.identifier.wos | WOS:000413813100311 | |
| gdc.wos.citedcount | 0 | |
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