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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/386F5M8
Repositorysid.inpe.br/sibgrapi/2010/08.30.01.58
Last Update2010:08.30.01.58.27 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2010/08.30.01.58.28
Metadata Last Update2022:06.14.00.06.54 (UTC) administrator
DOI10.1109/SIBGRAPI.2010.49
Citation KeyCarvalhoCostFerrCesa:2010:ImSeUs
TitleImage Segmentation Using Component Tree and Normalized Cut
FormatPrinted, On-line.
Year2010
Access Date2024, Apr. 28
Number of Files1
Size489 KiB
2. Context
Author1 Carvalho, Marco Antonio Garcia de
2 Costa, Andre Luis Da
3 Ferreira, Anselmo Castelo Branco
4 Cesar Junior, Roberto Marcondes
Affiliation1 Faculty of Technology-FT, University Of Campinas- UNICAMP
2 Faculty of Technology-FT, University Of Campinas- UNICAMP
3 Faculty of Technology-FT, University Of Campinas- UNICAMP
4 Department of Computer Science-IME, University Of Sao Paulo- USP
EditorBellon, Olga
Esperança, Claudio
e-Mail Addressanselmo.ferreira@gmail.com
Conference NameConference on Graphics, Patterns and Images, 23 (SIBGRAPI)
Conference LocationGramado, RS, Brazil
Date30 Aug.-3 Sep. 2010
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2010-10-01 04:19:38 :: anselmo.ferreira@gmail.com -> administrator :: 2010
2022-06-14 00:06:54 :: administrator -> :: 2010
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsimage segmentation
component tree
watershed transform
graph partitioning
spectral graph
AbstractGraph partitioning, or graph cut, has been studied by several authors as a way of image segmenting. In the last years, the Normalized Cut has been widely used in order to implement graph partitioning, based on the graph spectra analysis (eigenvalues and eigenvectors). This area is known as Spectral Graph Theory. This work uses a hierarchical structure in order to represent images, the Component Tree. We provide image segmentation based on Normalized Cut, with image representation based on the Component Tree and on its scale-space analysis. Experimental results present a comparison between other image representations, as pixel grids, including multiscale graph decomposition formulation, and Watershed Transform. As the results show, the proposed approach, applied to different images, presents satisfying image segmentation.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2010 > Image Segmentation Using...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Image Segmentation Using...
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/8JMKD3MGPBW34M/386F5M8
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/386F5M8
Languageen
Target Filesibgrapi_article_2010.pdf
User Groupanselmo.ferreira@gmail.com
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46SJT6B
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.14.20.21 4
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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