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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZeBBx/CJU2b
Repositorysid.inpe.br/banon/2004/07.12.16.21
Last Update2004:07.12.03.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/banon/2004/07.12.16.21.40
Metadata Last Update2022:06.20.23.33.50 (UTC) administrator
DOI10.1109/SIBGRA.2004.1352944
Citation KeyFalcãoBergMira:2004:ImSeTr
TitleImage segmentation by tree pruning
FormatOn-line
Year2004
Access Date2024, Apr. 28
Number of Files1
Size372 KiB
2. Context
Author1 Falcão, Alexandre Xavier
2 Bergo, Felipe Paulo Guazzi
3 Miranda, Paulo André Vechiatto de
Affiliation1 Institute of Computing - State University of Campinas (Unicamp)
EditorAraújo, Arnaldo de Albuquerque
Comba, João Luiz Dihl
Navazo, Isabel
Sousa, Antônio Augusto de
e-Mail Addressafalcao@ic.unicamp.br
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 17 (SIBGRAPI) - Ibero-American Symposium on Computer Graphics, 2 (SIACG)
Conference LocationCuritiba, PR, Brazil
Date17-20 Oct. 2004
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2008-07-17 14:10:55 :: falcao_tree_pruning.pdf -> banon ::
2008-08-26 15:15:41 :: banon -> administrator ::
2009-08-13 20:37:23 :: administrator -> banon ::
2010-08-28 20:01:13 :: banon -> administrator ::
2022-06-20 23:33:50 :: administrator -> :: 2004
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsimage segmentation
IFT
AbstractThe Image Foresting Transform (IFT) has been proposed for the design of image operators based on connectivity. The IFT reduces image processing problems into a minimum-cost path forest problem in a graph derived from the image. It has been successfully used for image filtering, segmentation, and analysis. In this work, we propose a novel image operator which solves segmentation by pruning trees of the forest. First, an IFT is applied to create an optimum-path forest whose roots are pixels selected inside a desired object. In this forest, the background consists of a few subtrees rooted at pixels on the object's boundary. These boundary pixels are identified and their subtrees are eliminated, such that the remaining forest defines the object. The tree pruning is an effective alternative to situations where image segmentation methods based on competing seeds fail. We present an interactive implementation of the tree-pruning technique, show several examples and discuss some experiments toward fully automatic segmentation.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2004 > Image segmentation by...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Image segmentation by...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZeBBx/CJU2b
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZeBBx/CJU2b
Languageen
Target File4400_falcao_a.pdf
User Groupfalcao_tree_pruning.pdf
administrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46QM2BE
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.03.00.29 9
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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