Research of  background-oriented schlieren based on two-dimensional de Bruijn sequence color coding technology

Ning Zou; Yang Song

doi:10.1117/12.2547580

18 December 2019 Research of background-oriented schlieren based on two-dimensional de Bruijn sequence color coding technology

Ning Zou, Yang Song

Author Affiliations +

Proceedings Volume 11338, AOPC 2019: Optical Sensing and Imaging Technology; 113382D (2019) https://doi.org/10.1117/12.2547580
Event: Applied Optics and Photonics China (AOPC2019), 2019, Beijing, China

Abstract

Background-oriented schlieren (BOS) is a novel flow visualization technology, which has the advantages of simple device, low cost, and quantitative measurement. In this paper, a BOS technique with two-dimensional color coding background is presented, which can be referred to as color background-oriented schlieren (CBOS). Different from traditional background schlieren technique, we designed a pattern combining ‘cosine dot’ and two-dimensional color coding as the background of BOS technique. Inspired by the coding principle based on De Bruijn sequence coding in the spatial coding method of traditional structured light coding technology, the pattern of ‘cosine dot’ is generated by multiplying the fringes in two perpendicular directions. In order to integrate the intensity value of cosine dots and corresponding encoded colors into a single pattern, and to separate them completely, the HSV color model is applied to address the problem. We calculate the perturbation degree of test flow fields by searching positions of the local intensity maximum of the cosine dot patterns with and without flow fields. The function of two-dimensional color coding is employed to locate the relative position of each local intensity maximum point. Finally, we carried on the simulation experiment and the real experiment to verify the feasibility of this method.

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Ning Zou and Yang Song "Research of background-oriented schlieren based on two-dimensional de Bruijn sequence color coding technology", Proc. SPIE 11338, AOPC 2019: Optical Sensing and Imaging Technology, 113382D (18 December 2019); https://doi.org/10.1117/12.2547580

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KEYWORDS

RGB color model

Cameras

Near field optics

Schlieren techniques

Structured light

Computer programming

Image segmentation

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