Velocity Measurement for Moving Surfaces by Using Spatial Filtering Technique Based on Array Detectors

Schaeper, Martin; Damaschke, Nils

doi:10.1007/978-3-642-21538-4_30

Cited by 7 publications

(5 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In general, the spatial filtering technique is based on using a periodic, structured grating within the imaging path of an optical system (Aizu and Asakura 2006;Schaeper et al 2008). The image information is weighted by this grating and integrated consecutively.…”

Section: Basic Principlesmentioning

confidence: 99%

“…Considering the one-dimensional image of a moving structure i(x − vt) , the movement results in a velocity v or an equivalent displacement vt of the structures projection in the imaging plane. Using a time-independent spatial grating function g(x) , the spatial filtering signal s(t) can be calculated as follows (Schaeper and Damaschke 2012):…”

Section: Basic Principlesmentioning

confidence: 99%

“…where k g is the spatial angular frequency and P g a defined period length, are a common choice in spatial filtering velocimetry. The velocity can then be estimated from the frequency of the spatial filtering signal s taking into account the grating functions spatial angular frequency (Schaeper and Damaschke 2012):…”

Section: Basic Principlesmentioning

confidence: 99%

See 2 more Smart Citations

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

View full text Add to dashboard Cite

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

show abstract

Section: Basic Principlesmentioning

confidence: 99%

Section: Basic Principlesmentioning

confidence: 99%

See 1 more Smart Citation

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

View full text Add to dashboard Cite

show abstract

“…The use of CCD cameras greatly simplifies the system structure, and increases flexibility and stability. The traditional linear CCD which replaced the traditional grating in the early stage cannot meet the requirement of measurement for multi-directional speed, so the array CCD has become the main acquisition device in current SFV system [28,29] to study the end-wall effects in our simple rotating drum.…”

Section: Principle Of Traditional Sfvmentioning

confidence: 99%

Improved spatial filtering velocimetry and its application in granular flow measurement*

Kong

Wang

et al. 2020

Chinese Phys. B

View full text Add to dashboard Cite

Spatial filtering velocimetry (SFV) has the advantages of simple structure, good stability, and wide applications. However, the traditional linear CCD-based SFV method requires an accurate angle between the direction of linear CCD and the direction of moving object, so it is not suitable for measuring a complex flow field or two-dimensional speed in a granular media. In this paper, a new extension of spatial filtering method (SFM) based on high speed array CCD camera is proposed as simple and effective technique for measuring two-dimensional speed field of granular media. In particular, we analyzed the resolution and range of array CCD-based SFV so that the reader can clarify the application scene of this method. This method has a particular advantage for using orthogonal measurement to avoid the angle measurement, which were problematic when using linear CCD to measure the movement. Finally, the end-wall effects of the granular flow in rotating drum is studied with different experimental conditions by using this improved technique.

show abstract

“…However, the image resolution and the measurement rate are not well documented. Realizing a signal (pre-)processing directly on the camera chip as for instance was presented by Schaeper and Damaschke in 2011 [110] should be a subject for future research. Eventually, the SFV is an advantageous technique for imaging flow velocity fields with a high seeding particle concentration.…”

Section: Time Measurementmentioning

confidence: 99%

Optics and Spectroscopy for Fluid Characterization

2018

View full text Add to dashboard Cite

Velocity Measurement for Moving Surfaces by Using Spatial Filtering Technique Based on Array Detectors

Cited by 7 publications

References 6 publications

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

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

Improved spatial filtering velocimetry and its application in granular flow measurement*

Optics and Spectroscopy for Fluid Characterization

Contact Info

Product

Resources

About