1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPAW/3M5CARE |
Repository | sid.inpe.br/sibgrapi/2016/07.21.06.29 |
Last Update | 2016:07.21.06.29.22 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi/2016/07.21.06.29.22 |
Metadata Last Update | 2024:03.23.15.30.58 (UTC) administrator |
DOI | 10.1109/SIBGRAPI.2016.012 |
Citation Key | RodriguesBeze:2016:ReVeSe |
Title | Retinal Vessel Segmentation Using Parallel Grayscale Skeletonization Algorithm and Mathematical Morphology |
Format | On-line |
Year | 2016 |
Access Date | 2024, Apr. 29 |
Number of Files | 1 |
Size | 2709 KiB |
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2. Context | |
Author | 1 Rodrigues, Jardel das Chagas 2 Bezerra, Francisco Nivando |
Editor | Aliaga, 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 Address | jardel.ifce@gmail.com |
Conference Name | Conference on Graphics, Patterns and Images, 29 (SIBGRAPI) |
Conference Location | São José dos Campos, SP, Brazil |
Date | 4-7 Oct. 2016 |
Publisher | IEEE Computer Society´s Conference Publishing Services |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full 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 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Version Type | finaldraft |
Keywords | retinal blood vessel segmentation mathematical morphology |
Abstract | Retinal 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 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2016 > Retinal Vessel Segmentation... |
Arrangement 2 | MM > Retinal Vessel Segmentation... |
Arrangement 3 | urlib.net > SDLA > Fonds > Full Index > Retinal Vessel Segmentation... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/8JMKD3MGPAW/3M5CARE |
zipped data URL | http://urlib.net/zip/8JMKD3MGPAW/3M5CARE |
Language | en |
Target File | PID4354727.pdf |
User Group | jardel.ifce@gmail.com |
Visibility | shown |
Update Permission | not transferred |
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5. Allied materials | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPAW/3M2D4LP 8JMKD3MGPCW/4AUUH9L 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2016/07.02.23.50 5 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Empty Fields | affiliation 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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