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@InProceedings{AndradeBertEverAraú:1996:CaBaMe,
               author = "Andrade, Marcos Carneiro de and Bertrand, Gilles and Everat, Jean 
                         Christophe and Ara{\'u}jo, Arnaldo de Albuquerque",
          affiliation = "{Centro de Desenvolvimento da Tecnologia Nuclear (CDTN)} and 
                         {Escole Sup{\'e}rieure d’ Ing{\'e}nieurs en Electrotechnique et 
                         Electronique (ESIEE)} and {Escole Sup{\'e}rieure d’ 
                         Ing{\'e}nieurs en Electrotechnique et Electronique (ESIEE)} and 
                         {Departamento de Ci{\^e}ncia da Computa{\c{c}}{\~a}o (DCC) da 
                         Universidade Federal de Minas Gerais (UFMG)}",
                title = "Segmentation of ceramical micrographies by flooding simulation: a 
                         catchment basins merging algorithm",
            booktitle = "Anais...",
                 year = "1996",
               editor = "Velho, Luiz and Albuquerque, Arnaldo de and Lotufo, Roberto de 
                         Alencar",
                pages = "355--356",
         organization = "Simp{\'o}sio Brasileiro de Computa{\c{c}}{\~a}o Gr{\'a}fica e 
                         Processamento de Imagens, 9. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "Melting algorithm, automation of image segmentation, watersheds.",
             abstract = "This work addresses a catchment basins merging algorithm developed 
                         to automatize the segmentation of ceramical images. The proposed 
                         algorithm, which is a modification of the watershed algorithm, 
                         employs two parameters to control the catchment basins merging: a 
                         depth criterium and an area criterium. This solution suppresses 
                         the characteristic over-segmentation of the flooding simulation 
                         algorithms enabling the direct image segmentation. There is no 
                         need of a previous pre-processing step. It is shown that this 
                         solution produces excellent segmentation results.",
  conference-location = "Caxambu",
      conference-year = "29 out. - 1 nov. 1996",
                 isbn = "85-244-0103-6",
             language = "en",
                  ibi = "8JMKD3MGPBW34M/3DQ5RM5",
                  url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3DQ5RM5",
           targetfile = "14 Segmentation of ceramical.pdf",
                 type = "Geral (Comunica{\c{c}}{\~o}es)",
        urlaccessdate = "2021, Dec. 06"
}


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