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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZG2LgkFdY/MfvP7
Repositorysid.inpe.br/sibgrapi@80/2006/08.24.15.21
Last Update2006:08.24.15.21.55 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi@80/2006/08.24.15.21.56
Metadata Last Update2022:06.14.00.13.24 (UTC) administrator
DOI10.1109/SIBGRAPI.2006.12
Citation KeyLeandroCésaCost:2006:DeBr3D
TitleDetermining the branchings of 3D structures from respective 2D projections
FormatOn-line
Year2006
Access Date2024, May 02
Number of Files1
Size241 KiB
2. Context
Author1 Leandro, Jorge de Jesus Gomes
2 César Júnior, Roberto Marcondes
3 Costa, Luciano da Fontoura
Affiliation1 Institute of Mathematics and Statistics - University of São Paulo - IME/USP
2 Institute of Mathematics and Statistics - University of São Paulo - IME/USP
3 Department of Physics and Informatics - Institute of Physics of São Carlos - USP
EditorOliveira Neto, Manuel Menezes de
Carceroni, Rodrigo Lima
e-Mail Addressjleandro@vision.ime.usp.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)2006-08-24 15:21:56 :: jleandro -> banon ::
2006-08-30 21:53:44 :: banon -> jleandro ::
2008-07-17 14:11:04 :: jleandro -> administrator ::
2009-08-13 20:38:15 :: administrator -> banon ::
2010-08-28 20:02:25 :: banon -> administrator ::
2022-06-14 00:13:24 :: administrator -> :: 2006
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsneurons
shape
branchings
crossings
AbstractThis work describes a new framework for automatic extraction of 2D branching structures images obtained from 3D shapes, such as neurons and retinopathy images. The majority of methods for neuronal cell shape analysis that are based on the 2D contours of cells fall short of properly characterizing such cells because crossings among neuronal processes constrain the access of contour following algorithms to the innermost regions of the cell. The framework presented in this article addresses, possibly for the first time, the problem of determining the continuity along crossings, therefore granting to the contour following algorithm full access to all processes of the neuronal cell under analysis. First, the raw image is preprocessed so as to obtain an 8-connected, one-pixel wide skeleton as well as a set of seed pixels for each subtree and all the branching/crossing regions. Then, for each seed pixel, the algorithm labels all valid neighbors, until a branching/crossing region is reached, when a decision about the proper continuation is taken based on the tangent continuity. The algorithm has shown robustness for images with parallel segments and low densities of branching/crossing densities. The problem of too high densities of branching/crossing regions can be addressed by using a suitable data structure. Successful experimental results using real data (neural cell images) are presented.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2006 > Determining the branchings...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Determining the branchings...
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agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/MfvP7
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZG2LgkFdY/MfvP7
Languageen
Target Fileleandro-branching.pdf
User Groupjleandro
administrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46RFT7E
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.08.00.20 5
sid.inpe.br/sibgrapi/2022/06.10.21.49 2
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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