@InProceedings{FalcãoBergMira:2004:ImSeTr,
               author = "Falc{\~a}o, Alexandre Xavier and Bergo, Felipe Paulo Guazzi and 
                         Miranda, Paulo Andr{\'e} Vechiatto de",
          affiliation = "{Institute of Computing - State University of Campinas 
                         (Unicamp)}",
                title = "Image segmentation by tree pruning",
            booktitle = "Proceedings...",
                 year = "2004",
               editor = "Ara{\'u}jo, Arnaldo de Albuquerque and Comba, Jo{\~a}o Luiz Dihl 
                         and Navazo, Isabel and Sousa, Ant{\^o}nio Augusto de",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 17. 
                         (SIBGRAPI) - Ibero-American Symposium on Computer Graphics, 2 
                         (SIACG)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "image segmentation, IFT.",
             abstract = "The Image Foresting Transform (IFT) has been proposed for the 
                         design of image operators based on connectivity. The IFT reduces 
                         image processing problems into a minimum-cost path forest problem 
                         in a graph derived from the image. It has been successfully used 
                         for image filtering, segmentation, and analysis. In this work, we 
                         propose a novel image operator which solves segmentation by 
                         pruning trees of the forest. First, an IFT is applied to create an 
                         optimum-path forest whose roots are pixels selected inside a 
                         desired object. In this forest, the background consists of a few 
                         subtrees rooted at pixels on the object's boundary. These boundary 
                         pixels are identified and their subtrees are eliminated, such that 
                         the remaining forest defines the object. The tree pruning is an 
                         effective alternative to situations where image segmentation 
                         methods based on competing seeds fail. We present an interactive 
                         implementation of the tree-pruning technique, show several 
                         examples and discuss some experiments toward fully automatic 
                         segmentation.",
  conference-location = "Curitiba, PR, Brazil",
      conference-year = "17-20 Oct. 2004",
                  doi = "10.1109/SIBGRA.2004.1352944",
                  url = "http://dx.doi.org/10.1109/SIBGRA.2004.1352944",
             language = "en",
                  ibi = "6qtX3pFwXQZeBBx/CJU2b",
                  url = "http://urlib.net/ibi/6qtX3pFwXQZeBBx/CJU2b",
           targetfile = "4400_falcao_a.pdf",
        urlaccessdate = "2024, Apr. 28"
}