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Image registration for pressure-sensitive paint applications

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Abstract

Pressure-sensitive paint (PSP) data are generally derived by ratioing two images of a PSP-coated wind tunnel model. One image is taken at a known “wind-off” reference pressure while the other is taken at the test condition, in order to factor out the effects of nonuniform illumination and paint thickness. However, airloads on the model cause it to move during testing with respect to both the camera and the illumination source used to excite the P & P. Thus, the raw PSP images must be aligned, or registered, by means of a spatial transform. Once a proper ratioed image is obtained, image coordinates must be related to model coordinates so that pressure data can be obtained at the desired points on the model. This article compares several transforms used for image registration, and demonstrates the use of the projective equation of photogrammetry to relate model to image coordinates. An application in a small-scale wind tunnel test is shown, demonstrating mapping of pressure data to the three-dimensional model surface.

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Abbreviations

a, b, c :

registration transform coefficients

A, B :

paint sensitivity coefficients

C p :

pressure coefficient

d :

half-distance between lamps

f :

camera focal length

I :

luminescence intensity, wind-on

I 0 :

luminescence intensity, wind-off

l :

lateral distance between points on a model

L 1 ...L 11 :

direct linear transform coefficients

m ij :

elements of the 3 × 3 orthogonal rotation matrix

M :

freestream Mach number

p :

surface pressure, wind-on

p 0 :

surface pressure, wind-off

r :

perpendicular distance from lamp to model

x, y :

coordinates of a point in the image plane

x p, yp :

image plane coordinates of the principal point

X, Y, Z :

three-dimensional coordinates of a point in space

X c, Yc,Z c :

three-dimensional coordinates of the camera perspective center

α:

geometric angle of attack, deg.

δ:

relative intensity change due to model motion

Δ x , δ y :

systematic errors in the image plane coordinates

ε r , ε l , θ:

model motion alongr andl, respectively, and model rotation

ω, ϕ, κ:

angles defining camera orientation

References

  • Abdel-Aziz Y; Karara H (1971) Direct Linear Transformation From Comparator Coordinates into Object Space Coordinates. Proc. ASP/UI Symp. on Close-Range Photogrammetric Systems, Urbana, Illinois, pp. 1–48

  • Bahaa E; Teich M (1991) Fundamentals of Photonics. Wiley-Interscience, New York, pp. 420–476

    Google Scholar 

  • Crites R; Benne M (1995) Emerging technology for pressure measurements in wind tunnels - pressure-sensitive paint. AIAA Paper No. 95-0106, 33th Aerospace Sciences Meeting, Jan. 9–12, Reno, NV

  • Devereux B; Fuller R; Carter L; Parsell R (1990) Geometric correction of airborne scanner imagery by matching Delanuay triangles. Int J Remote Sensing 11: 2237–2251

    Google Scholar 

  • Donovan J; Morris M; Pal A; Benne M; Crites R; (1993) Data analysis techniques for pressure- and temperature-sensitive paint. AIAA Paper No. 93-0176, 31st Aerospace Sciences Meeting, Jan. 11–14, Reno, NV

  • Fraser C (1982) On the use of non-metric cameras in analytical close-range photogrammetry. Canadian Survey 36: 259–279

    Google Scholar 

  • Granshaw S (1980) Bundle adjustment methods in engineering photogrammetry. Photogram Rec 10: 181–207

    Google Scholar 

  • Kavandi J; Callis J; Gouterman M; Khalil G; Wright D; Green E; Burns D; McLachlan B (1990) Luminescent barometry in wind tunnels. Rev Sci Instruments 3340–3347

  • Marzan G; Karara H (1975) A computer program for direct linear transformation solution of the collinearity condition, and some applications of it. Proc. APS Symp. on Close-Range Photogrammetric Systems, Urbana, IL, pp. 420–476

  • McLachlan B; Kavandi J; Callis J; Gouterman M; Green D; Khalil G; Burns D (1992) Surface pressure field mapping using luminescent coatings. Exp Fluids 14: 33–41

    Google Scholar 

  • McLachlan B; Bell J (1995a) Pressure-sensitive paint in aerodynamic testing. Experimental Thermal Fluid Sci 10: 470–485

    Article  Google Scholar 

  • McLachlan B; Bell J; Park H; Kennelly R; Schreiner J; Smith J; Strong J; Gallery J; Gouterman M (1995b) Pressure sensitive paint measurements on a supersonic high-sweep oblique wing model. AIAA J of Aircraft 32: 217–227

    Google Scholar 

  • Neyland V (1991) Recent achievements of TsAGI in the aerodynamic testing technique, recent advances in experimental fluid mechanics. Proceedings of the 1st International Conference on Experimental Fluid Mechanics, Chengdu, China, June 17–21, pp 12–18

  • Novak K (1992) Rectification of digital imagery. Photogrammetric Engineering & Remote Sensing 58: 339–344

    Google Scholar 

  • Shanmugasundaram R; Samareh-Abolhassani J (1995) Modified scatter data interpolation used to correct pressure sensitive paint images. AIAA Paper No. 95-2041, 30th AIAA Thermophysics Meeting, June 19–22, San Diego, CA

  • Slama C (1980) Manual of Photogrammetry, 4th Edition, American Society of Photogrammetry, Falls Church, Virginia, p. 51

    Google Scholar 

  • Stacy K, Severance K, Childers B (1994) Computer-aided light sheet flow visualization using photogrammetry, NASA TP 3416, July

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Additional information

Han Park was responsible for the original data reduction software, and much of the “look and feel” of the final product. Joel Mendoza provided the XB-70A model used in this study.

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Bell, J.H., McLachlan, B.G. Image registration for pressure-sensitive paint applications. Experiments in Fluids 22, 78–86 (1996). https://doi.org/10.1007/BF01893308

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  • DOI: https://doi.org/10.1007/BF01893308

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