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Proceedings Paper

Dynamic color descriptor based Frenet-Serret to classify stress zones from pixel variations recorded in photoelasticity videos
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Paper Abstract

We proposed a Frenet-Serret descriptor to classify stress categories based on color dynamics of pixels stored in photoelasticity videos. A collection of image compression models of disc and ring with a monotonic incremental load was generated. For each pixel, a temporal curve was created using color changes each frame. A descriptor histogram with Frenet Serret parameters was used to train a neuronal network; it classified in four types of stress zones (concentrated, high, medium, low). With the proposed method, a dynamic differentiation was possible in the field of stress without considering traditional digital photoelastic procedures.

Paper Details

Date Published: 6 September 2019
PDF: 8 pages
Proc. SPIE 11136, Optics and Photonics for Information Processing XIII, 111360G (6 September 2019); doi: 10.1117/12.2528074
Show Author Affiliations
Alejandro Restrepo-Martinez, Univ. Nacional de Colombia Sede Medellín (Colombia)
Juan Carlos Briñez, Univ. Nacional de Colombia Sede Medellín (Colombia)
Institución Univ. Pascual Bravo (Colombia)

Published in SPIE Proceedings Vol. 11136:
Optics and Photonics for Information Processing XIII
Khan M. Iftekharuddin; Abdul A. S. Awwal; Victor H. Diaz-Ramirez; Andrés Márquez, Editor(s)

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