@InProceedings{PimentelFoAraCouGuiNaj:2016:StHiWa,
               author = "Pimentel Filho, Carlos Alberto F. and Araujo, Arnaldo de 
                         Albuquerque and Cousty, Jean and Guimaraes, Silvio Jamil F. and 
                         Najman, Laurent",
          affiliation = "{Audio-Visual Information Proc. Lab. (VIPLAB) - Computer Science 
                         Department -- ICEI -- PUC Minas} and NPDI/DCC/UFMG - Federal 
                         University of Minas Gerais - Computer Science Department - Belo 
                         Horizonte, MG, Brazil and Universite Paris-Est, Laboratoire 
                         d'Informatique Gaspard-Monge UMR 8049, UPEMLV, ESIEE Paris, ENPC, 
                         CNRS, F-93162 Noisy-le-Grand France and {Audio-Visual Information 
                         Proc. Lab. (VIPLAB) - Computer Science Department -- ICEI -- PUC 
                         Minas} and Universite Paris-Est, Laboratoire d'Informatique 
                         Gaspard-Monge UMR 8049, UPEMLV, ESIEE Paris, ENPC, CNRS, F-93162 
                         Noisy-le-Grand France",
                title = "Stochastic hierarchical watershed cut based on disturbed 
                         topographical surface",
            booktitle = "Proceedings...",
                 year = "2016",
               editor = "Aliaga, Daniel G. and Davis, Larry S. and Farias, Ricardo C. and 
                         Fernandes, Leandro A. F. and Gibson, Stuart J. and Giraldi, Gilson 
                         A. and Gois, Jo{\~a}o Paulo and Maciel, Anderson and Menotti, 
                         David and Miranda, Paulo A. V. and Musse, Soraia and Namikawa, 
                         Laercio and Pamplona, Mauricio and Papa, Jo{\~a}o Paulo and 
                         Santos, Jefersson dos and Schwartz, William Robson and Thomaz, 
                         Carlos E.",
         organization = "Conference on Graphics, Patterns and Images, 29. (SIBGRAPI)",
            publisher = "IEEE Computer Society´s Conference Publishing Services",
              address = "Los Alamitos",
             keywords = "watershed, stochastic segmentation, hierarchical segmentation, 
                         mathematical morphology.",
             abstract = "In this article we present a hierarchical stochastic image 
                         segmentation approach. This approach is based on a framework of 
                         edge-weighted graph for minimum spanning forest hierarchy. Image 
                         regions, that are represented by trees in a forest, can be merged 
                         according to a certain rule in order to create a single tree that 
                         represents segments hierarchically. In this article, we propose to 
                         add a uniform random noise into the edge-weighted graph and then 
                         we build the hierarchy with several realizations of independent 
                         segmentations. At the end, we combine all the hierarchical 
                         segmentations into a single one. As we show in this article, 
                         adding noise into the edge weights improves the segmentation 
                         precision of larger image regions and for F-Measure of objects and 
                         parts.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos, SP, Brazil",
      conference-year = "4-7 Oct. 2016",
                  doi = "10.1109/SIBGRAPI.2016.044",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2016.044",
             language = "en",
                  ibi = "8JMKD3MGPAW/3M5KC42",
                  url = "http://urlib.net/ibi/8JMKD3MGPAW/3M5KC42",
           targetfile = "PID4373571.pdf",
        urlaccessdate = "2024, May 03"
}