Close
Metadata

@InProceedings{MirandaBergRochFalc:2006:NeAlCo,
               author = "Miranda, Paulo Andr{\'e} Vechiatto de and Bergo, Felipe Paulo 
                         Guazzi and Rocha, Leonardo Marques and Falcao, Alexandre Xavier",
          affiliation = "LIV, Institute of Computing, State University of Campinas and LIV, 
                         Institute of Computing, State University of Campinas and DECOM, 
                         FEEC, State University of Campinas and LIV, Institute of 
                         Computing, State University of Campinas",
                title = "Tree-Pruning: A New Algorithm and Its Comparative Analysis with 
                         theWatershed Transform for Automatic Image Segmentation",
            booktitle = "Proceedings...",
                 year = "2006",
               editor = "Oliveira Neto, Manuel Menezes de and Carceroni, Rodrigo Lima",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 19. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "image segmentation, license plate detection, image foresting 
                         transform, watershed transform, image analysis.",
             abstract = "Image segmentation using tree pruning (TP) and watershed (WS) has 
                         been presented in the framework of the image forest transform 
                         (IFT) a method to reduce image processing problems related to 
                         connectivity into an optimumpath forest problem in a graph. Given 
                         that both algorithms use the IFT with similar parameters, they 
                         usually produce similar segmentation results. However, they rely 
                         on different properties of the IFT which make TP more robust than 
                         WS for automatic segmentation tasks. We propose and demonstrate an 
                         important improvement in the TP algorithm, clarify the differences 
                         between TP and WS, and provide their comparative analysis from the 
                         theoretical and practical points of view. The experiments involve 
                         automatic segmentation of license plates in a database with 990 
                         images.",
  conference-location = "Manaus",
      conference-year = "8-11 Oct. 2006",
             language = "en",
           targetfile = "miranda-treepruning.pdf",
        urlaccessdate = "2020, Nov. 25"
}


Close