@InProceedings{BarreraZampLotu:1997:MoOpCh,
               author = "Barrera, Junior and Zampirolli, Francisco de Assis and Lotufo, 
                         Roberto de Alencar",
                title = "Morphological operators characterized by neighborhood graphs",
            booktitle = "Proceedings...",
                 year = "1997",
               editor = "Figueiredo, Luiz Henrique de and Netto, Marcio Lobo",
                pages = "179--186",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 10. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
                 note = "This work has been partially supported by ProTeM-CC/CNPq through 
                         the AnIMoMat project, contract 680067/94-9. The conference was 
                         held in Campos de Jord{\~a}o, SP, Brazil, from October 13 to 
                         16.",
             keywords = "mathematical morphology, structuring function, neighborhood graph, 
                         image operator, connected filter, segmentation, dilation, erosion, 
                         characterization, polymorphic, morphological, application.",
             abstract = "Mathematical Morphology is a theory that studies the decomposition 
                         of lattice operators in terms of some families of elementary 
                         lattice operators. When the lattices considered have a 
                         sup-generating family, the elementary operators can be 
                         characterized by structuring functions. The representation of 
                         structuring functions by neighborhood graphs is a powerful model 
                         for the construction of image operators. This model, that is a 
                         conceptual improvement of the one proposed by Vincent, permits a 
                         natural polymorphic extension of classical softwares for image 
                         processing by Mathematical Morphology. These systems constitute a 
                         complete framework for implementations of connected filters, that 
                         are one of the most modern and powerful approaches for image 
                         segmentation, and of operators that extract information from 
                         populations of objects in images. In this paper, besides 
                         presenting the formulation of the model, we present the 
                         polymorphic extension of a system for morphological image 
                         processing and some applications of it in image analysis.",
  conference-location = "Campos de Jord{\~a}o, SP, Brazil",
      conference-year = "Oct. 1997",
             language = "en",
         organisation = "SBC - Sociedade Brasileira de Computa{\c{c}}{\~a}o; USP - 
                         Universidade de S{\~a}o Paulo",
                  ibi = "83LX3pFwXQZeBBx/aE4jM",
                  url = "http://urlib.net/ibi/83LX3pFwXQZeBBx/aE4jM",
           targetfile = "art52.pdf",
        urlaccessdate = "2024, May 03"
}