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@InProceedings{AndradePeixAraú:1994:SeImRe,
               author = "Andrade, Marcos Carneiro de and Peixoto, Fabiano Cruz and 
                         Ara{\'u}jo, Arnaldo de Albuquerque",
          affiliation = "{Departamento de Ci{\^e}ncia da Computa{\c{c}}{\~a}o (DCC) da 
                         Universidade Federal de Minas Gerais (UFMG)} and {Departamento de 
                         Ci{\^e}ncia da Computa{\c{c}}{\~a}o (DCC) da Universidade 
                         Federal de Minas Gerais (UFMG)} and {Departamento de Ci{\^e}ncia 
                         da Computa{\c{c}}{\~a}o (DCC) da Universidade Federal de Minas 
                         Gerais (UFMG)}",
                title = "Segmenta{\c{c}}{\~a}o de imagens atrav{\'e}s de rede neuronal 
                         por satisfa{\c{c}}{\~a}o de restri{\c{c}}{\~o}es em ambiente 
                         paralelo",
            booktitle = "Anais...",
                 year = "1994",
               editor = "Freitas, Carla dal Sasso and Geus, Klaus de and Scheer, 
                         S{\'e}rgio",
                pages = "47--52",
         organization = "Simp{\'o}sio Brasileiro de Computa{\c{c}}{\~a}o Gr{\'a}fica e 
                         Processamento de Imagens, 7. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "segmenta{\c{c}}{\~a}o de imagens, rede neuronal, ambiente 
                         paralelo, processamento de imagens.",
             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.",
  conference-location = "Curitiba",
      conference-year = "9 - 11 nov. 1994",
                 isbn = "978-85-7669-272-0",
             language = "pt",
                  ibi = "8JMKD3MGPBW34M/3DDB8A8",
                  url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3DDB8A8",
           targetfile = "7 Segmentacao de imagens atraves de rede neuronal.pdf",
                 type = "Modelos e T{\'e}cnicas para Processamento de Imagens",
               volume = "1",
        urlaccessdate = "2021, Nov. 30"
}


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