DocumentCode
2269557
Title
An image filter technique to relax particle image velocimetry
Author
Rockstroh, L. ; Wahl, S. ; Wang, Z. ; Werner, P. ; Simon, S.
Author_Institution
Inst. of Parallel & Distrib. Syst., Univ. Stuttgart, Stuttgart, Germany
fYear
2011
fDate
Aug. 29 2011-Sept. 2 2011
Firstpage
283
Lastpage
287
Abstract
The method particle image velocimetry (PIV) measures particle velocities in natural sciences and engineering based on the determination of the optical flow. Classical PIV requires capturing the particles twice with short delay and with very short exposure time which exceeds the frame rate and the shutter speed of typical imaging systems. Thus, the exposure time is realized with illumination bursts based on double pulse lasers and imaging systems capable of high frame rates are used for capturing the particles. In order to relax PIV measurements, a filter technique is presented that generates both snapshots out of only one single image. This image is captured with a standard imaging system with standard exposure times which relaxes the constrains of the PIV measurement setup significantly. The filter technique is based on spatial filters and its computational complexity is independent from the image content. It also enables the integration of the technique into embedded architectures for real-time PIV. The functionality is demonstrated by taking the example of a particle-based manufacturing process and the measuring error caused by the filter technique is analyzed.
Keywords
computational complexity; flow visualisation; image capture; image filtering; image motion analysis; image sequences; laser velocimetry; optical images; particle filtering (numerical methods); spatial filters; computational complexity; double pulse lasers; error measurement; image spatial filter technique; natural sciences and engineering; optical flow; particle capturing; relax PIV measurement; relax particle image velocimetry; Atmospheric measurements; Brightness; Imaging; Particle measurements; Thermal spraying; Trajectory; Filtering algorithms; Image motion analysis; Particle image velocimetry; Segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference, 2011 19th European
Conference_Location
Barcelona
ISSN
2076-1465
Type
conf
Filename
7074106
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