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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZeBBx/D3Rpw
Repositorysid.inpe.br/banon/2004/08.03.23.57
Last Update2004:08.03.03.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/banon/2004/08.03.23.57.39
Metadata Last Update2022:06.14.00.12.38 (UTC) administrator
DOI10.1109/SIBGRA.2004.1352943
Citation KeySilvaLotu:2004:DeLiUs
TitleDetection of Lines Using Hierarchical Region Based Representation
FormatOn-line
Year2004
Access Date2024, Apr. 28
Number of Files1
Size516 KiB
2. Context
Author1 Silva, Alexandre Gonçalves
2 Lotufo, Roberto de Alencar Lotufo
Affiliation1 DCA - FEEC--Faculdade de Engenharia Elétrica e Computação - UNICAMP - P.O.Box 6101, 13083-970, Campinas, SP - Brazil
2 DCC - CCT--Centro de Ciências Tecnológicas - UDESC - P.O.Box 631, 89223-100, Joinville, SC - Brazil
EditorAraújo, Arnaldo de Albuquerque
Comba, João Luiz Dihl
Navazo, Isabel
Sousa, Antônio Augusto de
e-Mail Addressalexandre@joinville.udesc.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 14:10:56 :: alex_g_silva -> banon ::
2008-08-26 15:15:43 :: banon -> administrator ::
2009-08-13 20:37:29 :: administrator -> banon ::
2010-08-28 20:01:14 :: banon -> administrator ::
2022-06-14 00:12:38 :: administrator -> :: 2004
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsdetection of line
hierarchical representation
max-tree
AbstractThis paper suggests an hierarchical region based representation to implement detection of shapes in gray-scale images. The Max-Tree structure has demonstrated to be useful for this purpose, offering a semantic objects vision of the image, therefore, reducing the number of elements to process in relation to the pixel based representation. In this way, a particular thresholding information, associated with a specific shape analysis, can be used to determine the segmentation or filtering of regions of interest with lesser computational effort. For to demonstrate this technique, a generic application of detection of lines is proposed using the distance transform approach on each connected component from the depth searching in the mentioned tree.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2004 > Detection of Lines...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Detection of Lines...
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/6qtX3pFwXQZeBBx/D3Rpw
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZeBBx/D3Rpw
Languageen
Target File4489_Silva_A.pdf
User Groupalex_g_silva
administrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46QM2BE
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.03.00.29 10
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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