@InProceedings{OliveiraRibFarEspGir:2004:SnEnTo,
               author = "Oliveira, Antonio and Ribeiro, Saulo and Farias, Ricardo and 
                         Esperan{\c{c}}a, Cl{\'a}udio and Giraldi, Gilson",
          affiliation = "{Dept. of Systems Engineering and Computer Sciences - COPPE/UFRJ} 
                         and {National Lab. of Scientific Computing - LNCC}",
                title = "Loop Snakes: Snakes with Enhanced Topology Control",
            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 = "topologically adaptable snakes, T-snakes, segment identification, 
                         loop, topology.",
             abstract = "Topologically adaptable snakes, or simply T-snakes, are a standard 
                         tool for automatically identifying multiple segments in an image. 
                         This work introduces a novel approach for controlling the topology 
                         of a T-snake. It focuses on the loops formed by the so-called 
                         projected curve which is obtained at every stage of the snake 
                         evolution. The idea is to make that curve the image of a piecewise 
                         linear mapping of an adequate class. Then, with the help of an 
                         additional structure—the Loop-Tree—it is possible to decide in 
                         O(1) time whether the region enclosed by each loop has already 
                         been explored by the snake. This makes it possible to construct an 
                         enhanced algorithm for evolving T-snakes whose performance is 
                         assessed by means of statistics and examples.",
  conference-location = "Curitiba, PR, Brazil",
      conference-year = "17-20 Oct. 2004",
                  doi = "10.1109/SIBGRA.2004.1352982",
                  url = "http://dx.doi.org/10.1109/SIBGRA.2004.1352982",
             language = "en",
                  ibi = "6qtX3pFwXQZeBBx/D5kLV",
                  url = "http://urlib.net/ibi/6qtX3pFwXQZeBBx/D5kLV",
           targetfile = "5.pdf",
        urlaccessdate = "2024, May 02"
}