Full text: From pixels to sequences

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area of observation. The information from the particle tracking is used for the study of mass transport [11] 
and the interaction of waves [5]. 
6 CONCLUSIONS AND OUTLOOK 
À powerful particle tracking algorithm was described, enabling to track particles over several wave periods at 
particle concentration up to 800 particles per image. Particle tracking for the first time, enters the domain 
of digital particle image velocimetry as described by [4]. In addition PTV yields both the Eulerian and 
Lagrangian flow field. This technique als allows an easy extension to the 3rd dimension, which is currently 
undertaken in cooperation with the BASF [10], by directly correlating the trajectories imaged from different 
camera perspectives. 
ACKNOWLEDGEMENTS 
Financial support for this research from the National Science Foundation (OCE91 15994) and the German 
Science Foundation DFG (Wil029/2-1) is gratefully acknowledged. 
REFERENCES 
[1] Adamczyk, A.A., Rimai, L.: 1988, ‘2-Dimensional Particle Tracking Velocimetry (PTV): Technique and 
image processing algorithm’, Experiments in Fluids 6, Springer-Verlag, 373-380 
[2] Adrian, R.J.: 1991, ‘Particle-Imaging Techniques for Experimental Fluid Mechanics’, Ann. Rev. Fluid 
Mech., 28, 261-304 
[3] Etoh, T., Takehara, K.: 1992, ‘An Algorithm for Tracking Particles’, Proceedings, 6th International 
Symposium on Stochastic Hydraulics, Tapes, 237-241 
[4] Gharib, M., Willert, C.: 1988, ‘Particle Tracing Revisited’, Proceedings, 1st National Fluid Dynamics 
Congress, Cincinnati/Ohio, AIAA-88-3776-CP, 
[5] Hering, F., Wierzimok, D., Melville, W.K., Jähne, B.: 1993, ‘Combined Wave and Flow Field Vi- 
sualization for the Investigation of Short-Wave/Long-Wave Interaction’, Proceedings, Air-Sea Interface 
Symposium, Marseille 24.-30. June , in print 
[6] Hering, F.: 1992, *Messung von Transportgeschwindigkeiten in winderzeugten Wasserwellen mittels Dig- 
italer Bildfolgenanalyse', Diploma thesis, Institute for Environmental Physics, University of Heidelberg 
[7] Hesselink, L.: 1988, ‘Digital image processing in flow visualization’, Ann. Rev. Fluid Mech, 20, 421-485 
[8] Jáhne, B.: 1993, ‘Digital Image Processing’, Concepts, Algorithms and Scientific Applications, 2nd edi- 
tion, Springer- Verlag, Berlin, 200-205 
[9] Merle, M.: 1993, ‘Genauigkeit von Particle Tracking Velocimetry', Diploma thesis, Institute for Environ- 
mental Physics, University of Heidelberg 
[10] Netzsch, T., Jáhne, B.: 1994, ‘A high performance for 3-dimensional particle tracking velocimetry 
in turbulent flow research using image sequences', £o be published in, Proc. of ISPRS Intercommission 
Workshop ‘From Pixels to Sequences’, Zurich, March 22 - 24. In Int'l Arch. of Photog. and Rem. Sens., 
Vol 30, Part 5W1 
[11] Wierzimok, D., Hering, F.: 1993, ‘Quantitative Imaging of Transport in Fluids with Digital Particle 
Tracking Velocimetry’, Imaging in Transport Processes, Begell House, 297-308 
[12] Wierzimok, D., Jáhne, B.: 1991, ‘Measurement of wave-induced turbulent flow structures using image 
sequence analysis’, 2nd Int. Symp. Gas Transfer at Water Surfaces, Minneapolis 1990, Am. Soc. Civ. Eng. 
 
	        
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