@InProceedings{PaivaQueiSilvSilv:2016:CoAuOv,
               author = "Paiva, Pedro Victor Vieira de and Queiroz, Fabiane da Silva and 
                         Silva, Aline Nunes and Silva, Maria Josilaine dos Santos",
          affiliation = "{Universidade Federal de Alagoas} and {Universidade Federal de 
                         Alagoas} and {Universidade Federal de Alagoas} and {Universidade 
                         Federal de Alagoas}",
                title = "Contagem Autom{\'a}tica de Ovos de Rhipicephalus (Boophilus) 
                         microplus em Imagens Microsc{\'o}picas",
            booktitle = "Proceedings...",
                 year = "2016",
               editor = "Aliaga, Daniel G. and Davis, Larry S. and Farias, Ricardo C. and 
                         Fernandes, Leandro A. F. and Gibson, Stuart J. and Giraldi, Gilson 
                         A. and Gois, Jo{\~a}o Paulo and Maciel, Anderson and Menotti, 
                         David and Miranda, Paulo A. V. and Musse, Soraia and Namikawa, 
                         Laercio and Pamplona, Mauricio and Papa, Jo{\~a}o Paulo and 
                         Santos, Jefersson dos and Schwartz, William Robson and Thomaz, 
                         Carlos E.",
         organization = "Conference on Graphics, Patterns and Images, 29. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "processamento de imagens, extra{\c{c}}{\~a}o de 
                         caracter{\'{\i}}sticas, contagem autom{\'a}tica, contagem de 
                         ovos de carrapatos.",
             abstract = "The identification of effective pesticides to combat parasites as 
                         the tick Rhipicephalus (Boophilus) microplus requires hatchability 
                         studies in the presence of acaricides, part of the process is the 
                         egg counting. Due to the small size and the large number of eggs 
                         placed, the counting task is laborious and demand long periods. We 
                         propose a method of automatic counting of eggs using images 
                         captured with stereoscopic microscope. The proposed method 
                         combines border detection techniques and morphological operations 
                         to identify eggs regions. Features extractors and machine learn 
                         techniques are used to identify eggs overlap regions. Preliminary 
                         results indicate an accuracy of 93% in predicting the number of 
                         eggs in a much shorter time fraction compared to the traditional 
                         manual counting technique.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos, SP, Brazil",
      conference-year = "4-7 Oct. 2016",
             language = "pt",
                  ibi = "8JMKD3MGPAW/3MC5MS2",
                  url = "http://urlib.net/ibi/8JMKD3MGPAW/3MC5MS2",
           targetfile = "contagem-automatica-carrapatos(FINAL).pdf",
        urlaccessdate = "2024, Apr. 29"
}