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@InProceedings{Sa˙deMenFreRabJr:2010:GeDiBi,
               author = "Sa{\'u}de, Andr{\'e} Vital and Menezes, Fortunato Silva de and 
                         Freitas, Patr{\'{\i}}cia Luc{\'e}lia dos Santos and Rabelo, 
                         Giovanni Francisco and Jr. , Roberto Alves Braga",
          affiliation = "Federal University of Lavras, Department of Computer Science and 
                         Federal University of Lavras, Department of Exact Sciences and 
                         Federal University of Lavras, Department of Engineering and 
                         {Jos{\'e} do Ros{\'a}rio Vellano University - UNIFENAS} and 
                         Federal University of Lavras, Department of Engineering and 
                         Federal University of Lavras, Department of Engineering",
                title = "On generalized differences for Biospeckle image analysis",
            booktitle = "Proceedings...",
                 year = "2010",
               editor = "Bellon, Olga and Esperan{\c{c}}a, Claudio",
         organization = "Conference on Graphics, Patterns and Images, 23. (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "image analysis, optical physics, biospeckle, statistical image 
                         analysis.",
             abstract = "Biospeckle is a technique whose purpose is to observe and study 
                         the underlying activity of some material. The technique has its 
                         roots on optical physics, and its first step is an image 
                         acquisition process that produces a video sequence whose 
                         characteristics allow researchers to have an interpretation of the 
                         activity of the observed material by an analysis of the video 
                         content. The recent literature on this subject presents several 
                         different measurements for analyzing the video sequence. One of 
                         the most popular measurement is the Generalized Difference (GD). 
                         The computation of the GD has an asymptotic complexity of O(n2). 
                         In this paper we propose: i) an alternative O(n) algorithm for the 
                         computation of the GD, and ii) an alternative measurement, that we 
                         call GD*. We discuss the qualitative similarities between the GD 
                         and the GD*. We conclude that the GD* is an alternative 
                         generalized difference measurement, and thus it can replace the GD 
                         in many applications. We show that the GD* is a function of the 
                         variance, and it can be computed in O(n). Finally, if the GD 
                         itself is desired as measurement, it can now be computed in O(n) 
                         by the novel algorithm presented in this paper.",
  conference-location = "Gramado",
      conference-year = "Aug. 30 - Sep. 3, 2010",
             language = "en",
           targetfile = "BiospeckleMeasurements.pdf",
        urlaccessdate = "2020, Dec. 04"
}


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