B4.2 - Study on preprocessing in array detector based optical spatial filtering velocimetry

Schaeper, Martin; Damaschke, Nils; Kostbade, R.

doi:10.5162/sensor2017/b4.2

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Application To Real Imaging Systems1

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2023

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“…This causes inconsistencies and breaks in the phase progression of the spatial filtering signal, resulting in inaccurate velocity estimations. This increased variance depends on the density of image information and the shape of the chosen interrogation areas (Schaeper et al 2015). It can be reduced by taking the average over multiple independent velocity estimations in the frequency (see 2.3) and time domain (see 2.6).…”

Section: Application To Real Imaging Systemsmentioning

confidence: 99%

Time-resolved determination of velocity fields on the example of a simple water channel flow, using a real-time capable FPGA-based camera platform

et al. 2023

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Field Programmable Gate Arrays (FPGAs) have become a widely available computational resource for real-time image processing and can be used in time-critical optical process measurements. In this study, we investigate the applicability of the spatial filtering technique for time-resolved velocity field determination, on the example of a simple water tunnel flow. For this, the spatial filtering technique was implemented for a custom FPGA platform and analyzed regarding the effect of spatial and temporal resolution on the accuracy of the results. It was possible to prove the algorithm as suitable for velocity field estimation and identify algorithm parameters, which allow for increasing the accuracy of the results. Graphical abstract

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Section: Application To Real Imaging Systemsmentioning

confidence: 99%