@InProceedings{SilvaIano:2009:ImApUn,
               author = "Silva, Karinne Saraiva da and Iano, Yuzo",
          affiliation = "{Universidade Estadual de Campinas} and {Universidade Estadual de 
                         Campinas}",
                title = "An immune-inspired approach for unsupervised texture segmentation 
                         using wavelet packet transform",
            booktitle = "Proceedings...",
                 year = "2009",
               editor = "Nonato, Luis Gustavo and Scharcanski, Jacob",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 22. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "texture analysis, texture segmentation, wavelet packet, ARIA.",
             abstract = "In this paper, it is described a new unsupervised approach based 
                         on wavelet packet transform for texture images segmentation. This 
                         transform is able to decompose an image not only from the low 
                         frequency parts, but also from the middle-high frequency parts, in 
                         which there is a certain amount of texture information. After the 
                         extraction of the features, a clustering is carried out, by using 
                         an immune-inspired algorithm called ARIA (Adaptive Radius Immune 
                         Algorithm), which is capable of preserving the density information 
                         of the data and determining how many different textures (clusters) 
                         are present in the image. The performance of our methodology is 
                         compared with other methods described in literature.",
  conference-location = "Rio de Janeiro, RJ, Brazil",
      conference-year = "11-14 Oct. 2009",
                  doi = "10.1109/SIBGRAPI.2009.30",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2009.30",
             language = "en",
                  ibi = "8JMKD3MGPBW4/35SATQ5",
                  url = "http://urlib.net/ibi/8JMKD3MGPBW4/35SATQ5",
           targetfile = "sibgrapi.pdf",
        urlaccessdate = "2024, Apr. 27"
}