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@InProceedings{AlvesMoriCastHash:2013:ExNuRe,
               author = "Alves, Wonder Alexandre Luz and Morimitsu, Alexandre and Castro, 
                         Joel S{\'a}nchez and Hashimoto, Ronaldo Fumio",
          affiliation = "Institute of Mathematics and Statistics, University of S{\~a}o 
                         Paulo and Institute of Mathematics and Statistics, University of 
                         S{\~a}o Paulo and Institute of Mathematics and Statistics, 
                         University of S{\~a}o Paulo and Institute of Mathematics and 
                         Statistics, University of S{\~a}o Paulo",
                title = "Extraction of numerical residues in families of levelings",
            booktitle = "Proceedings...",
                 year = "2013",
               editor = "Boyer, Kim and Hirata, Nina and Nedel, Luciana and Silva, 
                         Claudio",
         organization = "Conference on Graphics, Patterns and Images, 26. (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "residual morphological operator, ultimate attribute opening, 
                         ultimate attribute closing, ultimate attribute leveling.",
             abstract = "This work introduces a residual operator called ultimate attribute 
                         leveling. We also present an efficient algorithm for ultimate 
                         attribute leveling computation by using a structure called tree of 
                         shapes. Our algorithm for computating ultimate attribute leveling 
                         is based on the fact (proved in this work) that levelings can be 
                         obtained by pruning nodes from the tree of shapes. This is a novel 
                         result, since so far it is known that levelings can be obtained 
                         from component trees. Finally, we propose the use of ultimate 
                         attribute leveling with shape information to extract contrast 
                         using a priori knowledge of an application. Experimental results 
                         applied to text location show the potentiality of using ultimate 
                         attribute leveling with shape information for solving problems in 
                         image processing area.",
  conference-location = "Arequipa, Peru",
      conference-year = "Aug. 5-8, 2013",
             language = "en",
           targetfile = "paper_revisao_v4.pdf",
        urlaccessdate = "2020, Nov. 28"
}


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