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@InProceedings{KomatiSamaSallSarc:2011:StBoDe,
               author = "Komati, Karin Satie and Samatelo, Jorge Leonid Aching and Salles, 
                         Evandro Ottoni Teatini and Sarcinelli Filho, M{\'a}rio",
          affiliation = "{Universidade Federal do Esp{\'{\i}}rito Santo} and 
                         {Universidade Federal do Esp{\'{\i}}rito Santo} and 
                         {Universidade Federal do Esp{\'{\i}}rito Santo} and 
                         {Universidade Federal do Esp{\'{\i}}rito Santo}",
                title = "A strategy for Boundary Detection Combining Region and Edge 
                         Information",
            booktitle = "Proceedings...",
                 year = "2011",
               editor = "Lewiner, Thomas and Torres, Ricardo",
         organization = "Conference on Graphics, Patterns and Images, 24. (SIBGRAPI)",
            publisher = "IEEE Computer Society Conference Publishing Services",
              address = "Los Alamitos",
             keywords = "Boundary detection, multilabel graph cut, region growing, edge 
                         detection.",
             abstract = "AbstractA method to detect boundaries in in natural color images 
                         is here proposed, combining edge information and region 
                         information. This unsupervised fully automatic process uses edge 
                         map information to eliminate false boundaries in the image region 
                         map, and region map information to remove noise in the image edge 
                         map. Thus, it integrates these two maps into a single one to get 
                         the \final result. This proposal is extensively compared to 
                         the multi-label graph cut approach, since both approaches are 
                         unsupervised and fully automatic, as well as receive the same two 
                         inputs, although performing different processing. Experiments 
                         performed on a large set of natural color images were the base for 
                         such comparison. The results show that the approach here proposed 
                         is promising, besides allowing interesting interpretations about 
                         boundary detection.",
  conference-location = "Macei{\'o}",
      conference-year = "Aug. 28 - 31, 2011",
             language = "en",
           targetfile = "Artigo_SIBGRAPI2011_v14 (1).pdf",
        urlaccessdate = "2019, Dec. 07"
}


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