@InProceedings{SoaresKörtFons:2015:ImDiSe,
               author = "Soares, Anderson Reis and K{\"o}rting, Thales Sehn and Fonseca, 
                         Leila M. Garcia",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Improvements of the divide and segment method for parallel image 
                         segmentation",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Fileto, Renato and Korting, Thales Sehn",
                pages = "222--232",
         organization = "Simp{\'o}sio Brasileiro de Geoinform{\'a}tica, 16. (GEOINFO)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Remote Sensing is an important source of information about the 
                         dynamics of Earth's land and oceans, but retrieve information from 
                         this technique, is a challenge. Segmentation is a traditional 
                         method in remote sensing, which have a high computational cost. An 
                         alternative to suppress this problem is use parallel approaches, 
                         which split the image into tiles, and segment each one 
                         individually. However, the divisions among tiles are not natural, 
                         which create inconsistent objects. In this work, we extended our 
                         previous work, which used non-crisp borders computed based on 
                         graph-theory. By applying this non-crisp line cut, we avoid the 
                         post-processing of neighboring regions, and therefore speed up the 
                         segmentation.",
  conference-location = "Campos do Jord{\~a}o",
      conference-year = "27 nov. a 02 dez. 2015",
                 issn = "2179-4820",
             language = "en",
                  ibi = "8JMKD3MGPDW34P/3KP38AL",
                  url = "http://urlib.net/ibi/8JMKD3MGPDW34P/3KP38AL",
           targetfile = "soares2015improvements.pdf",
        urlaccessdate = "2024, Apr. 28"
}