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		<site>sibgrapi.sid.inpe.br 802</site>
		<identifier>8JMKD3MGPBW34M/3DDB8A8</identifier>
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		<isbn>978-85-7669-272-0</isbn>
		<citationkey>AndradePeixAraú:1994:SeImRe</citationkey>
		<title>Segmentação de imagens através de rede neuronal por satisfação de restrições em ambiente paralelo</title>
		<format>Impresso, On-line.</format>
		<year>1994</year>
		<numberoffiles>1</numberoffiles>
		<size>6137 KiB</size>
		<author>Andrade, Marcos Carneiro de,</author>
		<author>Peixoto, Fabiano Cruz,</author>
		<author>Araújo, Arnaldo de Albuquerque,</author>
		<affiliation>Departamento de Ciência da Computação (DCC) da Universidade Federal de Minas Gerais (UFMG)</affiliation>
		<affiliation>Departamento de Ciência da Computação (DCC) da Universidade Federal de Minas Gerais (UFMG)</affiliation>
		<affiliation>Departamento de Ciência da Computação (DCC) da Universidade Federal de Minas Gerais (UFMG)</affiliation>
		<editor>Freitas, Carla dal Sasso,</editor>
		<editor>Geus, Klaus de,</editor>
		<editor>Scheer, Sérgio,</editor>
		<e-mailaddress>cintiagraziele.silva@gmail.com</e-mailaddress>
		<conferencename>Simpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 7 (SIBGRAPI)</conferencename>
		<conferencelocation>Curitiba</conferencelocation>
		<date>9 - 11 nov. 1994</date>
		<publisher>Sociedade Brasileira de Computação</publisher>
		<publisheraddress>Porto Alegre</publisheraddress>
		<volume>1</volume>
		<pages>47-52</pages>
		<booktitle>Anais</booktitle>
		<tertiarytype>Artigo</tertiarytype>
		<transferableflag>1</transferableflag>
		<keywords>segmentação de imagens, rede neuronal, ambiente paralelo, processamento de imagens.</keywords>
		<abstract>The 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.</abstract>
		<type>Modelos e Técnicas para Processamento de Imagens</type>
		<language>pt</language>
		<targetfile>7 Segmentacao de imagens atraves de rede neuronal.pdf</targetfile>
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		<usergroup>cintiagraziele.silva@gmail.com</usergroup>
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		<url>http://sibgrapi.sid.inpe.br/rep-/sid.inpe.br/sibgrapi/2013/01.18.15.01</url>
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