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

Alejandro Restrepo-Martinez; Juan Carlos Briñez

doi:10.1117/12.2528074

6 September 2019 Dynamic color descriptor based Frenet-Serret to classify stress zones from pixel variations recorded in photoelasticity videos

Alejandro Restrepo-Martinez, Juan Carlos Briñez

Author Affiliations +

Proceedings Volume 11136, Optics and Photonics for Information Processing XIII; 111360G (2019) https://doi.org/10.1117/12.2528074
Event: SPIE Optical Engineering + Applications, 2019, San Diego, California, United States

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.

Conference Presentation

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Alejandro Restrepo-Martinez and Juan Carlos Briñez "Dynamic color descriptor based Frenet-Serret to classify stress zones from pixel variations recorded in photoelasticity videos", Proc. SPIE 11136, Optics and Photonics for Information Processing XIII, 111360G (6 September 2019); https://doi.org/10.1117/12.2528074

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