@InProceedings{SaúdeMenFreRabJr: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, RS, Brazil",
conference-year = "30 Aug.-3 Sep. 2010",
doi = "10.1109/SIBGRAPI.2010.36",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2010.36",
language = "en",
ibi = "8JMKD3MGPBW34M/386NQBS",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/386NQBS",
targetfile = "BiospeckleMeasurements.pdf",
urlaccessdate = "2024, May 03"
}