@InProceedings{AudigierLotuFalc:2004:InItSe,
               author = "Audigier, Romaric Matthias Michel and Lotufo, Roberto de Alencar 
                         and Falc{\~a}o, Alexandre Xavier",
          affiliation = "{FEEC UNICAMP} and {FEEC UNICAMP} and {IC UNICAMP}",
                title = "On integrating iterative segmentation by watershed with 
                         tridimensional visualization of MRIs",
            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 = "iterative segmentation, watershed, IFT, tridimensional 
                         visualization, MRI.",
             abstract = "This work presents two fast and iterative methods that integrate 
                         segmentation by watershed and three-dimensional visualization, 
                         while the classical approach is to separate these two processes. 
                         The user-aided segmentation is based on iterative watershed, 
                         efficiently implemented using the Image Foresting Transform (IFT). 
                         The first proposed algorithm consists of extracting segmented 
                         structures' borders during the segmentation and updating them at 
                         each iteration. Structure visualization is achieved by border 
                         projection. The second algorithm updates the image directly from 
                         the changes of the segmented scene occured in each step. The two 
                         methods were implemented in C and tested with various Magnetic 
                         Resonance Images. The results are satisfactory as compared to the 
                         classical approaches. The incremental image algorithm is a little 
                         faster than the classical one while the incremental border 
                         algorithm, although a little slower in segmenting, allows a very 
                         fast rendering, very suitable for object manipulation. Thus, the 
                         proposed methods provide a good feedback to user.",
  conference-location = "Curitiba, PR, Brazil",
      conference-year = "17-20 Oct. 2004",
                  doi = "10.1109/SIBGRA.2004.1352953",
                  url = "http://dx.doi.org/10.1109/SIBGRA.2004.1352953",
             language = "en",
                  ibi = "6qtX3pFwXQZeBBx/D7Mvm",
                  url = "http://urlib.net/ibi/6qtX3pFwXQZeBBx/D7Mvm",
           targetfile = "4475_audigier_r.ps",
        urlaccessdate = "2024, May 02"
}