@InProceedings{SouzaTavaRittLotu:2016:OvMaPr,
               author = "Souza, Roberto and Tavares, Lu{\'{\i}}s and Rittner, 
                         Let{\'{\i}}cia and Lotufo, Roberto",
          affiliation = "{Universidade Estadual de Campinas} and Instituto Federal de 
                         Educa{\c{c}}{\~a}o, Ci{\^e}ncia e Tecnologia do Sul de Minas 
                         and {Universidade Estadual de Campinas} and {Universidade Estadual 
                         de Campinas}",
                title = "An overview of max-tree principles, algorithms and applications",
            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 = "max-tree, component tree, filtering, algorithms.",
             abstract = "The max-tree is a mathematical morphology data structure that 
                         represents an image through the hierarchical relationship of 
                         connected components resulting from different thresholds. It was 
                         proposed in 1998 by Salembier et al., since then, many efficient 
                         algorithms to build and process it were proposed. There are also 
                         efficient algorithms to extract size, shape and contrast 
                         attributes of the max-tree nodes. These algorithms allowed 
                         efficient implementation of connected filters like 
                         attribute-openings and development of automatic and semi-automatic 
                         applications that compete with the state-of-the-art. This paper 
                         reviews the max-tree principles, algorithms, applications and its 
                         current trends.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos, SP, Brazil",
      conference-year = "4-7 Oct. 2016",
             language = "en",
                  ibi = "8JMKD3MGPAW/3M9PQJL",
                  url = "http://urlib.net/ibi/8JMKD3MGPAW/3M9PQJL",
           targetfile = "overview-max-tree.pdf",
        urlaccessdate = "2024, May 03"
}