@InProceedings{VieiraChieFerrGonz:2012:ImMiAn,
               author = "Vieira, Raissa Tavares and Chierici, Carlos Eduardo de Oliveira 
                         and Ferraz, Carolina Toledo and Gonzaga, Adilson",
          affiliation = "{University of S{\~a}o Paulo } and {University of S{\~a}o 
                         Paulo } and {University of S{\~a}o Paulo } and {University of 
                         S{\~a}o Paulo}",
                title = "Image micro-pattern analysis using Fuzzy Numbers",
            booktitle = "Proceedings...",
                 year = "2012",
               editor = "Freitas, Carla Maria Dal Sasso and Sarkar, Sudeep and Scopigno, 
                         Roberto and Silva, Luciano",
         organization = "Conference on Graphics, Patterns and Images, 25. (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "micro-pattern analysis, fuzzy numbers, texture analysis.",
             abstract = "This paper proposes a new methodology for micropattern analysis in 
                         digital images based on fuzzy numbers. A micro-pattern is the 
                         structure of the gray-level pixels within a neighborhood and can 
                         describe the spatial context of the image, such as edge, line, 
                         spot, blob, corner, texture, and more complex patterns. By 
                         treating a pixel neighborhood as a fuzzy set and each pixel 
                         gray-level as a fuzzy number, we can evaluate the membership 
                         degree of the central pixel to the others. We have called this 
                         method the Local Fuzzy Pattern (LFP). Using a sigmoid membership 
                         function, we proved that the proposed methodology surpasses the 
                         Hit-rate of the Local Binary Pattern (LBP), for texture 
                         classification. The LFP proved to be robust to image rotation. 
                         Moreover, our proposed formulation for the LFP is a generalization 
                         of previously published techniques, such as Texture Unit, LBP, 
                         FUNED, and Census Transform.",
  conference-location = "Ouro Preto, MG, Brazil",
      conference-year = "22-25 Aug. 2012",
                  doi = "10.1109/SIBGRAPI.2012.21",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2012.21",
             language = "en",
                  ibi = "8JMKD3MGPBW34M/3C9K7LE",
                  url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3C9K7LE",
           targetfile = "Image micro-pattern analysis using Fuzzy Numbers.pdf",
        urlaccessdate = "2024, Apr. 29"
}