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@InProceedings{MirandaFalcRupp:2010:HoCoAn,
               author = "Miranda, Paulo Andr{\'e} Vechiatto and Falc{\~a}o, Alexandre 
                         Xavier and Ruppert, Guilherme Cesar Soares",
          affiliation = "Institute of Computing - Unicamp -- CP 6176, 13084-971, Campinas, 
                         SP, Brazil and Institute of Computing - Unicamp -- CP 6176, 
                         13084-971, Campinas, SP, Brazil and Institute of Computing - 
                         Unicamp -- CP 6176, 13084-971, Campinas, SP, Brazil",
                title = "How to complete any segmentation process interactively via Image 
                         Foresting Transform",
            booktitle = "Proceedings...",
                 year = "2010",
               editor = "Bellon, Olga and Esperan{\c{c}}a, Claudio",
         organization = "Conference on Graphics, Patterns and Images, 23. (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "image foresting transform, robustness in image segmentation, graph 
                         search algorithms.",
             abstract = "The segmentation of poorly defined structures in medical imaging 
                         and heterogeneous objects in natural images usually call for 
                         considerable user assistance. Consequently, automatic results are 
                         often far from desirable and interactive repairs become an 
                         essential feature to consider. However, how to import automatic 
                         results obtained from external processes and complete their 
                         segmentation interactively is an issue, since different tools are 
                         based on different optimization criteria. Another simpler related 
                         problem concerns how to continue a previous segmentation obtained 
                         by the same interactive tool. This ability to stop and later 
                         resume interactive segmentation sessions is specially important 
                         for tridimensional images and video. However, very often crucial 
                         data (e.g., the history of user input) are no longer available; or 
                         are no longer reliable, as consequence of some post-processing. 
                         How to offer a comprehensive recovery and resume capability, 
                         comprising all these different scenarios, under the framework of 
                         the {"}Image Foresting Transform{"} (IFT) is the central focus of 
                         this paper.",
  conference-location = "Gramado",
      conference-year = "Aug. 30 - Sep. 3, 2010",
             language = "en",
           targetfile = "70671.pdf",
        urlaccessdate = "2020, Dec. 03"
}


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