Paper
25 July 2022 Iteration algorithm for multidimensional television signals superposition of optical triangulation sensor in speckle reducing issue
Author Affiliations +
Proceedings Volume 12295, Optical Technologies for Telecommunications 2021; 122950N (2022) https://doi.org/10.1117/12.2630868
Event: Nineteenth International Scientific and Technical Conference "Optical Technologies for Communications", 2021, Samara, Russian Federation
Abstract
We describe iteration algorithm for multidimensional television signals superposition of optical triangulation sensor for speckle reducing, which distorts the measurements of object counter. The object of research is the drill-pipe thread. The measurements of such objects are very sensitive to the speckle. The estimation error can be about 0.20 mm and higher. But value of tolerance is about 0.05 мм. The developed method for speckle reducing includes the preliminary stage of superposition of two multidimensional signals. The location of speckle on signals is different. The different location is defined by object offset relatively the laser of optical triangulation sensor. The multidimensional television signals superposition allows estimating the location of the speckle noise on images. Removing of the image region with the speckle noise reduces the error of object contour estimation. In issue of television signals processing the one of important problem has been distortion of multidimensional signals. It connects with distortion of triangulation sensor optical elements. The method of superposition on background of optical distortions and speckle noise is described in this article.
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Rinat R. Diyazitdinov and Nikolay N. Vasin "Iteration algorithm for multidimensional television signals superposition of optical triangulation sensor in speckle reducing issue", Proc. SPIE 12295, Optical Technologies for Telecommunications 2021, 122950N (25 July 2022); https://doi.org/10.1117/12.2630868
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KEYWORDS
Speckle

Multidimensional signal processing

Superposition

Interference (communication)

Sensors

Televisions

Error analysis

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