@techreport{TR-IC-11-04,
   number = {IC-11-04},
   author    =   {Paulo~A.V.~Miranda   and   Alexandre~X.~Falcão   and  
                   Thiago~V.~Spina},
   title  = {{Riverbed: A Novel User-Steered Image Segmentation Method
                   Based on Optimum Boundary Tracking}},
   month = {January},
   year = {2011},
   institution = {Institute of Computing, University of Campinas},
   note = {In English, 21 pages.
    \par\selectlanguage{english}\textbf{Abstract}
       This  work  presents  an optimum user-steered boundary tracking
       approach  for  image segmentation, which simulates the behavior
       of  water flowing through a riverbed. The riverbed approach was
       devised  using  the  Image  Foresting  Transform  with  a never
       exploited  connectivity  function. We analyze its properties in
       the  derived  image graphs and discuss its theoretical relation
       with  other  popular methods, such as live wire and graph cuts.
       Several experiments show that riverbed can significantly reduce
       the  number of user interactions (anchor points) as compared to
       live  wire  for  objects  with  complex  shapes. This work also
       includes a discussion about how to combine different methods in
       order to take advantage of their complementary strengths.
  }
}