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@InProceedings{MoreiraCost:1995:MuImSe,
               author = "Moreira, Jander and Costa, Luciano da Fontoura",
          affiliation = "{Departamento de Computa{\c{c}}{\~a}o da Universidade de 
                         S{\~a}o Carlos (UFSCar)} and {Instituto de F{\'{\i}}sica de 
                         S{\~a}o Carlos (IFSC) da Universidade de S{\~a}o Paulo (USP)}",
                title = "Multispectral image segmentation by chromaticity classification",
            booktitle = "Anais...",
                 year = "1995",
               editor = "Lotufo, Roberto de Alencar and Mascarenhas, Nelson Delfino 
                         d'{\'A}vila",
                pages = "119--125",
         organization = "Simp{\'o}sio Brasileiro de Computa{\c{c}}{\~a}o Gr{\'a}fica e 
                         Processamento de Imagens, 8. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "image segmentation, multispectral image segmentation, chromaticity 
                         classification.",
             abstract = "This paper describes a color segmentation technique, based on the 
                         k-nearest-neighbor classification scheme, which operates on a 
                         normalized version of the color image known as the chromaticity 
                         image. An investigation was carried out in order to evaluate how 
                         the classification behaves for different number of neighbors (k), 
                         for distinct window sizes (in which an average of a sample feature 
                         is taken), and for various numbers of samples per class. The 
                         results, which are experimentally assessed by comparing the 
                         obtained classifications with a standard reference (segmented by 
                         human), shows that the method provides good overall accuracy and 
                         robustness. The class space for the test image is also presented 
                         in graphical form.",
  conference-location = "S{\~a}o Carlos",
      conference-year = "25 - 27 out. 1995",
                 isbn = "978-85-7669-273-7",
             language = "en",
                  ibi = "8JMKD3MGPBW34M/3DJ99KH",
                  url = "http://urlib.net/rep/8JMKD3MGPBW34M/3DJ99KH",
           targetfile = "15 Multispectral image.pdf",
                 type = "Segmenta{\c{c}}{\~a}o de Imagens",
        urlaccessdate = "2020, Nov. 25"
}


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