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Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Identifier8JMKD3MGPBW34M/3DDB8A8
Repositorysid.inpe.br/sibgrapi/2013/01.18.15.01
Last Update2013:01.18.15.01.28 (UTC) administrator
Metadatasid.inpe.br/sibgrapi/2013/01.18.15.01.28
Metadata Last Update2013:02.02.13.16.01 (UTC) administrator
ISBN978-85-7669-272-0
Citation KeyAndradePeixAraú:1994:SeImRe
TitleSegmentação de imagens através de rede neuronal por satisfação de restrições em ambiente paralelo
FormatImpresso, On-line.
Year1994
Access Date2021, Dec. 03
Number of Files1
Size6137 KiB
Context area
Author1 Andrade, Marcos Carneiro de
2 Peixoto, Fabiano Cruz
3 Araújo, Arnaldo de Albuquerque
Affiliation1 Departamento de Ciência da Computação (DCC) da Universidade Federal de Minas Gerais (UFMG)
2 Departamento de Ciência da Computação (DCC) da Universidade Federal de Minas Gerais (UFMG)
3 Departamento de Ciência da Computação (DCC) da Universidade Federal de Minas Gerais (UFMG)
EditorFreitas, Carla dal Sasso
Geus, Klaus de
Scheer, Sérgio
e-Mail Addresscintiagraziele.silva@gmail.com
Conference NameSimpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 7 (SIBGRAPI)
Conference LocationCuritiba
Date9 - 11 nov. 1994
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Volume1
Pages47-52
Book TitleAnais
Tertiary TypeArtigo
History (UTC)2013-01-18 15:01:28 :: cintiagraziele.silva@gmail.com -> administrator ::
2013-02-02 13:16:01 :: administrator -> cintiagraziele.silva@gmail.com :: 1994
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordssegmentação de imagens
rede neuronal
ambiente paralelo
processamento de imagens
AbstractThe constraint satisfaction neural network CSNN, proposed by Chen is here implemented in a massively parallel SIMD machine. The CSNN can be viewed as a set of interconnected neurons, whose topology and connections are used to represent constraints in a Constraint Satisfaction Problem CSP. The neural network ierates until it converges to a consistent state. In this state all constraints are satisfied and the solution outlines the segmented areas. This region segmentation technique has been applied to images and is very promising.
TypeModelos e Técnicas para Processamento de Imagens
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data URLhttp://urlib.net/ibi/8JMKD3MGPBW34M/3DDB8A8
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3DDB8A8
Languagept
Target File7 Segmentacao de imagens atraves de rede neuronal.pdf
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cintiagraziele.silva@gmail.com
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Mirror Repositorysid.inpe.br/sibgrapi@80/2007/08.02.16.22
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
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