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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3M5CARE
Repositorysid.inpe.br/sibgrapi/2016/07.21.06.29
Last Update2016:07.21.06.29.22 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2016/07.21.06.29.22
Metadata Last Update2024:03.23.15.30.58 (UTC) administrator
DOI10.1109/SIBGRAPI.2016.012
Citation KeyRodriguesBeze:2016:ReVeSe
TitleRetinal Vessel Segmentation Using Parallel Grayscale Skeletonization Algorithm and Mathematical Morphology
FormatOn-line
Year2016
Access Date2024, Apr. 29
Number of Files1
Size2709 KiB
2. Context
Author1 Rodrigues, Jardel das Chagas
2 Bezerra, Francisco Nivando
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 Addressjardel.ifce@gmail.com
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 06:29:22 :: jardel.ifce@gmail.com -> administrator ::
2016-10-05 14:49:15 :: administrator -> jardel.ifce@gmail.com :: 2016
2016-10-13 11:34:54 :: jardel.ifce@gmail.com -> administrator :: 2016
2024-03-23 15:30:58 :: administrator -> :: 2016
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsretinal blood vessel segmentation
mathematical morphology
AbstractRetinal vessel segmentation is an important step for the detection of numerous system diseases, such as glaucoma, diabetic retinopathy, and others. Thus, the retinal blood vessel analysis can be used to diagnose and to monitor the progress of these diseases. Manual segmentation of fundus images is a long and tedious task that requires a specialist. Therefore, many algorithms have been developed for this purpose. This paper demonstrates an automated method for retinal blood vessel segmentation based on the combination of topological and morphological vessel extractors. Each of these extractors is based on different blood vessel features to increase the detection robustness. The final segmentation is obtained intersecting the two resulting images, smoothing the vessel borders and removing spurious objects remaining. Our proposed method is tested on DRIVE and STARE databases, achieving an average accuracy of 0.9565 and 0.9568, respectively, with good values of sensitivity and specificity.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2016 > Retinal Vessel Segmentation...
Arrangement 2MM > Retinal Vessel Segmentation...
Arrangement 3urlib.net > SDLA > Fonds > Full Index > Retinal Vessel Segmentation...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3M5CARE
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3M5CARE
Languageen
Target FilePID4354727.pdf
User Groupjardel.ifce@gmail.com
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3M2D4LP
8JMKD3MGPCW/4AUUH9L
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 Fieldsaffiliation archivingpolicy 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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