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@InProceedings{DoriniLeit:2008:GeSeAd,
                title = "A general self-dual adaptative filtering toggle operator",
                  ibi = "6qtX3pFwXQZG2LgkFdY/V7zx7",
                  url = "http://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/V7zx7",
            publisher = "IEEE Computer Society",
            booktitle = "Proceedings...",
             language = "en",
                  doi = "10.1109/SIBGRAPI.2008.13",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2008.13",
              address = "Los Alamitos",
               author = "Dorini, Leyza Baldo and Leite, Neucimar Jer{\^o}nimo",
  conference-location = "Campo Grande, MS, Brazil",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 21. 
                         (SIBGRAPI)",
                 year = "2008",
             keywords = "mathematical morphology, image filtering.",
               editor = "Jung, Cl{\'a}udio Rosito and Walter, Marcelo",
           targetfile = "doriniLeite-selfDualFilter.pdf",
      conference-year = "12-15 Oct. 2008",
          affiliation = "{Unicamp - State University of Campinas} and {Unicamp - State 
                         University of Campinas}",
             abstract = "In the mathematical morphology context, a filter is an operator 
                         that is increasing and idempotent. We propose an alternative way 
                         to build self-dual morphological filters, extending some results 
                         obtained for morphological centers to a different class of toggle 
                         operators whose decision rule is based on which primitive value is 
                         closer to the original one. With this new approach, a wider range 
                         of primitives can be considered without causing oscillations, a 
                         common problem in toggle mappings. We also explore the use of 
                         non-flat structuring elements which are shown to produce sharper 
                         filtered images. To evaluate the proposed approach, we carry out 
                         tests on images with different kinds of noise using different 
                         pairs of primitives. Experimental tests on Synthetic Aperture 
                         Radar (SAR) images show promising results, outperforming some 
                         well-known filters related to this type of pictures.",
        urlaccessdate = "2022, May 21"
}


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