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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZG2LgkFdY/MfxFy
Repositorysid.inpe.br/sibgrapi@80/2006/08.24.16.48
Last Update2006:08.24.16.48.48 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi@80/2006/08.24.16.48.49
Metadata Last Update2022:06.14.00.13.24 (UTC) administrator
DOI10.1109/SIBGRAPI.2006.26
Citation KeyCuadros-VargasGerCasBatNon:2006:Im2DMe
TitleImproving 2D mesh image segmentation with Markovian Random Fields
FormatOn-line
Year2006
Access Date2024, May 02
Number of Files1
Size2118 KiB
2. Context
Author1 Cuadros-Vargas, Alex J.
2 Gerhardinger, Leandro C.
3 Castro, Mário
4 Batista Neto, João
5 Nonato, Luis G.
Affiliation1 ICMC - Instituto de Ciências Matemáticas e de Computação - USP
2 ICMC - Instituto de Ciências Matemáticas e de Computação - USP
3 ICMC - Instituto de Ciências Matemáticas e de Computaão - USP
4 ICMC - Instituto de Ciências Matemáticas e de Computaão - USP
5 ICMC - Instituto de Ciências Matemáticas e de Computaão - USP
EditorOliveira Neto, Manuel Menezes de
Carceroni, Rodrigo Lima
e-Mail Addressjbatista@icmc.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 16:48:49 :: jdesbn -> banon ::
2006-08-30 21:49:34 :: banon -> jdesbn ::
2008-07-17 14:11:04 :: jdesbn -> 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
KeywordsPolygonal Meshes
Texture Analysis
Segmentation
AbstractTraditional mesh segmentation methods normally operate on geometrical models with no image information. On the other hand, 2D image-based mesh generation and segmentation counterparts, such as Imesh \cite{Vargas:05} perform the task by following a set of well defined rules derived from the geometry of the triangles, but with no statistical information of the mesh elements. This paper presents a novel segmentation method that combines the original Imesh image-based segmentation approach with Markovian Random Field (MRF) models. It takes an image as input, generate a mesh of triangles and, by treating the mesh as a Markovian field, produces quality unsupervised segmentation. The results have demonstrated that the method not only provides better segmentation than that of original Imesh, but is also capable of producing MRF-like segmentation output for certain types of images, with considerable cut in processing times.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2006 > Improving 2D mesh...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Improving 2D mesh...
doc Directory Contentaccess
source Directory Contentthere are no files
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/MfxFy
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZG2LgkFdY/MfxFy
Languageen
Target FileVargas-MRF_Mesh.pdf
User Groupjdesbn
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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