DocumentCode
2511591
Title
Application of median filter technique and ESP in PSP data processing
Author
Yongcun, Zhang ; Jinkui, Shang ; Xiaoguang, Ma ; Min, Zhao
Author_Institution
Sch. of Aeronaut. Sci. & Eng., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
fYear
2011
fDate
23-25 May 2011
Firstpage
436
Lastpage
439
Abstract
In this paper, the application of PSP(Pressure Sensitive Paint) technique is described in wind tunnel. As a new optical pressure sensor technique, there are some problems needed to be solved, the big noise and SE(Systematic Error) in the PSP pressure measurement system are two of them, the median filter technique is applied to eliminate the big noise and ESP technique is introduced to decreased the SE. The gray value of the filtered pixel in the PSP image is determined by neighborhood of the pixel, so it preserves the correlation info contained in the pixels. “PSP Processing System Software” developed by ourselves is used for processing images by median filter technique, and comparison results between the raw data and the filtered data of PSP images is given, meanwhile, to a certain pressure test section, the Cp (Pressure Coefficient) data corrected by ESP data from PSP technique and the data from ESP (Electronically-scanned Pressure) technique are compared.
Keywords
aerospace computing; image processing; median filters; optical sensors; pressure measurement; pressure sensors; wind tunnels; ESP technique; PSP data processing; PSP pressure measurement system; PSP processing system software; electronically-scanned pressure; image processing; median filter technique; pressure sensitive paint; systematic error; wind tunnel; Low pass filters; Maximum likelihood detection; Noise; Nonlinear filters; Optical filters; Paints; Pressure measurement; Electronically-scanned pressure; median filter technique; optical pressure sensor; pressure sensitive paint;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2011 Chinese
Conference_Location
Mianyang
Print_ISBN
978-1-4244-8737-0
Type
conf
DOI
10.1109/CCDC.2011.5968219
Filename
5968219
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