@InProceedings{SpinaMAFZPCF:2009:CoStAm,
               author = "Spina, Thiago Vallin and Montoya-Zegarra, Javier Alexander and 
                         Andrijauskas, Fabio and Faria, F{\'a}bio Augusto and Zampieri, 
                         Carlos Elias Arminio and Pinto-C{\'a}ceres, Sheila Maricela and 
                         Carvalho, Tiago Jos{\'e} and Falc{\~a}o, Alexandre Xavier",
          affiliation = "{University of Campinas} and {University of Campinas} and 
                         {University of Campinas} and {University of Campinas} and 
                         {University of Campinas} and {University of Campinas} and 
                         {University of Campinas} and {University of Campinas}",
                title = "A comparative study among pattern classifiers in interactive image 
                         segmentation",
            booktitle = "Proceedings...",
                 year = "2009",
               editor = "Nonato, Luis Gustavo and Scharcanski, Jacob",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 22. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "pattern classifiers, graph-based image segmentation, image 
                         foresting transform, fuzzy classification.",
             abstract = "Edition of natural images usually asks for considerable user 
                         involvement, being segmentation one of the main challenges. This 
                         paper describes an unified graph-based framework for fast, precise 
                         and accurate interactive image segmentation. The method divides 
                         segmentation into object recognition, enhancement and extraction. 
                         Recognition is done by the user when markers are selected inside 
                         and outside the object. Enhancement increases the dissimilarities 
                         between object and background and Extraction separates them. 
                         Enhancement is done by a fuzzy pixel classifier and it has a great 
                         impact in the number of markers required for extraction. In view 
                         of minimizing user involvement, we focus this paper on a 
                         comparative study among popular classifiers for enhancement, 
                         conducting experiments with several natural images and seven 
                         users. .",
  conference-location = "Rio de Janeiro, RJ, Brazil",
      conference-year = "11-14 Oct. 2009",
                  doi = "10.1109/SIBGRAPI.2009.45",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2009.45",
             language = "en",
                  ibi = "8JMKD3MGPBW4/35SLJKB",
                  url = "http://urlib.net/ibi/8JMKD3MGPBW4/35SLJKB",
           targetfile = "PID964061.pdf",
        urlaccessdate = "2024, Apr. 30"
}