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Proceedings Paper

Proposal of a bio-speckle descriptor for computing machine take decisions
Author(s): Fabio Vega; Cesar Torres
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Paper Abstract

The coefficient autocorrelation is a descriptor used in many applications with biospeckle technique. However the analysis of results is through of interpretation of graphs curves. In this paper us proposal a fast algorithm for the linearizing of autocorrelation coefficient; through of the average of slope between autocorrelation coefficients and thus the computing machine can take decisions for many application; for example: fruit classification, maturity detection, storage detection, seeds classification etc.

Paper Details

Date Published: 24 August 2015
PDF: 5 pages
Proc. SPIE 9660, SPECKLE 2015: VI International Conference on Speckle Metrology, 96600B (24 August 2015); doi: 10.1117/12.2196735
Show Author Affiliations
Fabio Vega, Univ. Popular del Cesar (Colombia)
Grupo de Investigación del SENA COMM, INVCOMM (Colombia)
Cesar Torres, Univ. Popular del Cesar (Colombia)


Published in SPIE Proceedings Vol. 9660:
SPECKLE 2015: VI International Conference on Speckle Metrology
Fernando Mendoza Santoyo; Eugenio R. Mendez, Editor(s)

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