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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3M5DMUB
Repositorysid.inpe.br/sibgrapi/2016/07.21.14.12
Last Update2016:10.13.11.22.05 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2016/07.21.14.12.52
Metadata Last Update2022:06.14.00.08.32 (UTC) administrator
DOI10.1109/SIBGRAPI.2016.023
Citation KeyGarciaKreuWelf:2016:NoMeDe
TitleA novel method for detecting the fovea in fundus images of the eye
FormatOn-line
Year2016
Access Date2024, May 03
Number of Files1
Size4641 KiB
2. Context
Author1 Garcia, Pedro de Moura
2 Kreutz, Diego Luis
3 Welfer, Daniel
Affiliation1 Universidade Federal do Pampa (UNIPAMPA)
2 Universidade Federal do Pampa (UNIPAMPA)
3 Universidade Federal de Santa Maria (UFSM)
EditorAliaga, Daniel G.
Davis, Larry S.
Farias, Ricardo C.
Fernandes, Leandro A. F.
Gibson, Stuart J.
Giraldi, Gilson A.
Gois, João Paulo
Maciel, Anderson
Menotti, David
Miranda, Paulo A. V.
Musse, Soraia
Namikawa, Laercio
Pamplona, Mauricio
Papa, João Paulo
Santos, Jefersson dos
Schwartz, William Robson
Thomaz, Carlos E.
e-Mail Addressdaniel.welfer@ufsm.br
Conference NameConference on Graphics, Patterns and Images, 29 (SIBGRAPI)
Conference LocationSão José dos Campos, SP, Brazil
Date4-7 Oct. 2016
PublisherIEEE Computer Society´s Conference Publishing Services
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2016-07-21 14:12:52 :: daniel.welfer@ufsm.br -> administrator ::
2016-10-05 14:49:15 :: administrator -> daniel.welfer@ufsm.br :: 2016
2016-10-13 11:22:05 :: daniel.welfer@ufsm.br -> administrator :: 2016
2022-06-14 00:08:32 :: administrator -> :: 2016
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsfovea
image processing
cross-correlation
Diabetic retinopathy
AbstractIn this paper we propose a novel method for finding the fovea in colored images of the eye fundus. We use an image correlation coefficient to find the fovea, which is calculated from a set of template images of the fovea. The results, using the DIARETDB1 database, indicate that our method detects the fovea region with an accuracy of 82,02%.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2016 > A novel method...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > A novel method...
doc Directory Contentaccess
source Directory Content
SIBGRAPI - v7.pdf 21/07/2016 11:12 4.5 MiB
agreement Directory Content
agreement.html 21/07/2016 11:12 1.2 KiB 
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3M5DMUB
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3M5DMUB
Languageen
Target FileSIBGRAPI - v7.pdf
User Groupdaniel.welfer@ufsm.br
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3M2D4LP
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2016/07.02.23.50 5
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


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