@InProceedings{LotufoFalcZamp:2002:IFGrMa,
               author = "Lotufo, Roberto and Falc{\~a}o, Alexandre Xavier and Zampirolli, 
                         Francisco",
                title = "IFT-Watershed from gray-scale marker",
            booktitle = "Proceedings...",
                 year = "2002",
               editor = "Gon{\c{c}}alves, Luiz Marcos Garcia and Musse, Soraia Raupp and 
                         Comba, Jo{\~a}o Luiz Dihl and Giraldi, Gilson and Dreux, 
                         Marcelo",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 15. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
                 note = "The conference was held in Fortaleza, CE, Brazil, from October 7 
                         to 10.",
             abstract = "The watershed transform and the morphological reconstruction are 
                         two of the most important operators for image segmentation in the 
                         framework of mathematical morphology. In many situations, the 
                         segmentation requires the classical watershed transform of a 
                         reconstructed image. In this paper, we introduce the IFT-watershed 
                         from gray scale marker - a method to compute at same time, the 
                         reconstruction and the classical watershed transform of the 
                         reconstructed image, without explicit computation of any regional 
                         minima. The method is based on the Image Foresting Transform (IFT) 
                         - a unified and efficient approach to reduce image processing 
                         problems to a minimum-cost path forest problem in a graph. As 
                         additional contributions, we demonstrate that (i) the cost map of 
                         the IFT-watershed from markers is identical to the output of the 
                         superior gray scale reconstruction; (ii) other reconstruction 
                         algorithms are not watersheds; and (iii) the proposed method 
                         achieves competitive advantages as compared to the current 
                         classical watershed approach.",
  conference-location = "Fortaleza, CE, Brazil",
      conference-year = "10-10 Oct. 2002",
                  doi = "10.1109/SIBGRA.2002.1167137",
                  url = "http://dx.doi.org/10.1109/SIBGRA.2002.1167137",
             language = "en",
         organisation = "SBC - Brazilian Computer Society",
                  ibi = "6qtX3pFwXQZeBBx/vRUmx",
                  url = "http://urlib.net/ibi/6qtX3pFwXQZeBBx/vRUmx",
           targetfile = "93.pdf",
        urlaccessdate = "2024, Dec. 02"
}