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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZG2LgkFdY/LNGn3
Repositorysid.inpe.br/sibgrapi@80/2006/07.19.19.06
Last Update2006:07.19.19.06.28 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi@80/2006/07.19.19.06.29
Metadata Last Update2022:06.14.00.13.16 (UTC) administrator
DOI10.1109/SIBGRAPI.2006.44
Citation KeyMirandaBergRochFalc:2006:NeAlCo
TitleTree-Pruning: A new algorithm and its comparative analysis with the watershed transform for automatic image segmentation
FormatOn-line
Year2006
Access Date2024, Apr. 28
Number of Files1
Size573 KiB
2. Context
Author1 Miranda, Paulo André Vechiatto de
2 Bergo, Felipe Paulo Guazzi
3 Rocha, Leonardo Marques
4 Falcao, Alexandre Xavier
Affiliation1 LIV, Institute of Computing, State University of Campinas
2 LIV, Institute of Computing, State University of Campinas
3 DECOM, FEEC, State University of Campinas
4 LIV, Institute of Computing, State University of Campinas
EditorOliveira Neto, Manuel Menezes de
Carceroni, Rodrigo Lima
e-Mail Addressafalcao@ic.unicamp.br
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 19 (SIBGRAPI)
Conference LocationManaus, AM, Brazil
Date8-11 Oct. 2006
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2006-07-19 19:06:29 :: alexandre.falcao -> banon ::
2006-08-30 21:55:57 :: banon -> alexandre.falcao ::
2008-07-17 14:11:03 :: alexandre.falcao -> administrator ::
2009-08-13 20:38:08 :: administrator -> banon ::
2010-08-28 20:02:24 :: banon -> administrator ::
2022-06-14 00:13:16 :: administrator -> :: 2006
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsimage segmentation
license plate detection
image foresting transform
watershed transform
image analysis
AbstractImage segmentation using tree pruning (TP) and watershed (WS) has been presented in the framework of the image forest transform (IFT) a method to reduce image processing problems related to connectivity into an optimumpath forest problem in a graph. Given that both algorithms use the IFT with similar parameters, they usually produce similar segmentation results. However, they rely on different properties of the IFT which make TP more robust than WS for automatic segmentation tasks. We propose and demonstrate an important improvement in the TP algorithm, clarify the differences between TP and WS, and provide their comparative analysis from the theoretical and practical points of view. The experiments involve automatic segmentation of license plates in a database with 990 images.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2006 > Tree-Pruning: A new...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Tree-Pruning: A new...
doc Directory Contentaccess
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/LNGn3
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZG2LgkFdY/LNGn3
Languageen
Target Filemiranda-treepruning.pdf
User Groupalexandre.falcao
administrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46RFT7E
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.08.00.20 5
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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