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@InProceedings{MoraesBrazVech:2017:ImSeIm,
               author = "de Moraes Braz, Caio and Vechiatto de Miranda, Paulo Andr{\'e}",
          affiliation = "IME-USP and IME-USP",
                title = "Image Segmentation by Image Foresting Transform with Geodesic Band 
                         Constraints",
            booktitle = "Proceedings...",
                 year = "2017",
               editor = "Torchelsen, Rafael Piccin and Nascimento, Erickson Rangel do and 
                         Panozzo, Daniele and Liu, Zicheng and Farias, Myl{\`e}ne and 
                         Viera, Thales and Sacht, Leonardo and Ferreira, Nivan and Comba, 
                         Jo{\~a}o Luiz Dihl and Hirata, Nina and Schiavon Porto, Marcelo 
                         and Vital, Creto and Pagot, Christian Azambuja and Petronetto, 
                         Fabiano and Clua, Esteban and Cardeal, Fl{\'a}vio",
         organization = "Conference on Graphics, Patterns and Images, 30. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "Image Segmentation, IFT, shape constraints.",
             abstract = "The Image Foresting Transform framework (IFT) was successfully 
                         used to implement several segmentation meth- ods, including 
                         watersheds and fuzzy connectedness, however the lack of 
                         regularization terms in its formulation leads to a potential 
                         irregular (jagged) segmentation. An attempt to avoid this issue is 
                         to employ shape constraints that favor more regular shapes. We 
                         present a novel shape constraint, called the Geodesic Band 
                         Constraint (GBC) and show how it can be efficiently incorporated 
                         in the Image Foresting Transform framework, with its proof of 
                         optimality in terms of an energy function, subject to the new 
                         constraint. This constraint helps us to improve the segmentation 
                         of regular objects. The GBC can be also used with a prior shape 
                         template in order to drive the segmentation towards a specific 
                         shape with a single parameter that controls the degrees of freedom 
                         of the allowed deformations subject to the model.",
  conference-location = "Niter{\'o}i, RJ",
      conference-year = "Oct. 17-20, 2017",
             language = "en",
                  ibi = "8JMKD3MGPAW/3PK979E",
                  url = "http://urlib.net/rep/8JMKD3MGPAW/3PK979E",
           targetfile = "CameraReady_CaioBraz.pdf",
        urlaccessdate = "2021, Jan. 27"
}


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