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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW4/35S5BGL
Repositorysid.inpe.br/sibgrapi@80/2009/08.17.15.30
Last Update2009:08.17.15.30.55 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi@80/2009/08.17.15.30.56
Metadata Last Update2022:06.14.00.13.55 (UTC) administrator
DOI10.1109/SIBGRAPI.2009.43
Citation KeyKörbesLotu:2009:AnWaAl
TitleAnalysis of the watershed algorithms based on the Breadth-First and Depth-First exploring methods
FormatPrinted, On-line.
Year2009
Access Date2024, Apr. 28
Number of Files1
Size285 KiB
2. Context
Author1 Körbes, André
2 Lotufo, Roberto de Alencar
Affiliation1 UNICAMP
2 UNICAMP
EditorNonato, Luis Gustavo
Scharcanski, Jacob
e-Mail Addressandre.korbes@gmail.com
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 22 (SIBGRAPI)
Conference LocationRio de Janeiro, RJ, Brazil
Date11-14 Oct. 2009
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2010-08-28 20:03:24 :: andre.korbes@gmail.com -> administrator ::
2022-06-14 00:13:55 :: administrator -> :: 2009
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordswatershed transform
image segmentation
watershed algorithms
AbstractIn this paper, fifteen watershed algorithms are reviewed. For clarity, first we expose two graph exploring methods modified to be guidelines for understanding the approaches taken by these algorithms: the breadth-first watershed and the depth-first watershed. Both paradigms rely on the visiting order applied by the algorithms. The breadth-first is more recognisable as a seed region growing or marker expansion process, grouping both methods based on flooding and hierarchical queue. The depth-first groups the algorithms based on the drop of water simulation, forming a simple path until a regional minimum is found. We analyse and classify fifteen algorithms, and two of them were better characterised. Along with this, some useful information (i.e. use of markers and line over pixel) is organised, in order to facilitate the choice of an algorithm.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2009 > Analysis of the...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Analysis of the...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPBW4/35S5BGL
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW4/35S5BGL
Languageen
Target FilePID949619.pdf
User Groupandre.korbes@gmail.com
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46SJQ2S
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.14.19.43 3
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage edition electronicmailaddress group isbn issn label lineage mark mirrorrepository 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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