Q-statistics in dynamic speckle pattern analysis

We introduce q statistics concepts to improve the performance of some methods based on the histogram to estimate dynamic speckle activity. It is shown that some improvements are obtained by choosing appropriate q values that have been empirically determined. The possibility of increasing the precisi...

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Bibliographic Details
Published inOptics and lasers in engineering Vol. 50; no. 6; pp. 855 - 861
Main Authors Rabal, Héctor J., Cap, Nelly, Trivi, Marcelo, Guzmán, Marcelo N.
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.06.2012
Subjects
Drying
Dynamic speckle
Dynamic tests
Dynamics
Lasers
Marketing
Speckle patterns
Statistics
Tsallis statistics
Tsallis statistics
Dynamic speckle
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Summary:We introduce q statistics concepts to improve the performance of some methods based on the histogram to estimate dynamic speckle activity. It is shown that some improvements are obtained by choosing appropriate q values that have been empirically determined. The possibility of increasing the precision and diminishing the acquisition time are explored for a usual study case as is the drying of paint. ► We use non extensive statistics to improve biospeckle activity estimators. ► Drying of paint is used as test case. ► Noticeable improvements are found in some specific cases.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0143-8166
1873-0302
DOI:10.1016/j.optlaseng.2012.01.010