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@InProceedings{PerrottiLotu:1993:PrExAt,
               author = "Perrotti, Francesco Artur and Lotufo, Roberto de Alencar",
          affiliation = "{Departamento de Engenharia de Computa{\c{c}}{\~a}o e 
                         Automa{\c{c}}{\~a}o Industrial da Faculdade de Engenharia 
                         El{\'e}trica (FEE) da Universidade Estadual de Campinas 
                         (UNICAMP)} and {Departamento de Engenharia de 
                         Computa{\c{c}}{\~a}o e Automa{\c{c}}{\~a}o Industrial da 
                         Faculdade de Engenharia El{\'e}trica (FEE) da Universidade 
                         Estadual de Campinas (UNICAMP)}",
                title = "Pr{\'e}-processamento, extra{\c{c}}{\~a}o de atributos e 
                         primeiro n{\'{\i}}vel de classifica{\c{c}}{\~a}o para um 
                         sistema de reconhecimento {\'o}tico de s{\'{\i}}mbolos 
                         musicais",
            booktitle = "Anais...",
                 year = "1993",
               editor = "Figueiredo, Luiz Henrique de and Gomes, Jonas de Miranda",
                pages = "247--254",
         organization = "Simp{\'o}sio Brasileiro de Computa{\c{c}}{\~a}o Gr{\'a}fica e 
                         Processamento de Imagens, 6. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "pr{\'e}-processamento, extra{\c{c}}{\~a}o de atributos, 
                         primeiro n{\'{\i}}vel de classifica{\c{c}}{\~a}o, sistema de 
                         reconhecimento {\'o}tico, s{\'{\i}}mbolos musicais.",
             abstract = "This paper presents a solution for the pre-processing, feature 
                         extraction and the first level of classification applied to an 
                         Optical Music Recognition system (OMR). The attributes used for 
                         classification are extracted form a thinned and vectorized image 
                         of the partitur. Critical points and its supporting neigbourhood 
                         are matched and clustered together to identify candidate simbols. 
                         Results of some experiments are reported.",
  conference-location = "Recife",
      conference-year = "19 - 22 out. 1993",
                 isbn = "978-85-7669-271-3",
             language = "pt",
                  ibi = "8JMKD3MGPBW34M/3D85J72",
                  url = "http://urlib.net/rep/8JMKD3MGPBW34M/3D85J72",
           targetfile = "29 Pre processamento extracao e atributos.pdf",
                 type = "Vis{\~a}o por Computador",
               volume = "1",
        urlaccessdate = "2020, May 25"
}


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