Skip to main content
Log in

Background extraction from double-frame PIV images

  • Originals
  • Published:
Experiments in Fluids Aims and scope Submit manuscript

Abstract

This study presents a simple image pre-processing scheme to extract background information from double-frame particle image velocimetry (PIV) images. Everything that stays stagnant in the image (e.g., image background and light reflections from stationary objects) is assumed to be a source of disturbance and is removed by subtracting the second frame of the image pair from the first frame. This yields a single frame difference image, which is transferred back to a background extracted double-frame image. After the procedure the background in the image does not correlate with itself anymore and therefore a bias error in PIV analysis towards zero displacement is avoided. The simulations show that the procedure conserves the profile of tracer particle images when a displacement between the frames is larger than a particle image size. The performance of this procedure is emphasized with various examples, and extensions of the procedure are introduced. The extended procedure extracts background objects that move between the image frames, e.g. dispersed phase particles in a two-phase flow or laser light sheet reflections from moving objects.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12

Similar content being viewed by others

References

  • Dantec Dynamics (2002) FlowManager Manual. Dantec Dynamics A/S, Skovlunde, Denmark

  • Delnoij E, Westerweel J, Deen NG, Kuipers JAM, van Swaaij WPM (1999) Ensemble correlation PIV applied to bubble plumes rising in a bubble column. Chem Eng Sci 54:5159–5171

    Article  Google Scholar 

  • Fincham AM, Spedding GR (1997) Low cost, high resolution DPIV for measurement of turbulent fluid flow. Exp Fluids 23:449–462

    Article  Google Scholar 

  • Gui L, Merzkirch W, Shu JZ (1997) Evaluation of low image density PIV recordings with the MQD method and application to the flow in a liquid bridge. J Flow Visual Image Proc 4:333–343

    Google Scholar 

  • Gui L, Wereley ST, Kim YH (2003) Advances and applications of the digital mask technique in particle image velocimetry experiments. Meas Sci Technol 14:1820–1828

    Article  Google Scholar 

  • Kähler C (2004) Evaluation of time resolved PIV image sequences with dynamic evaluation algorithms. Pivnet T5/ERCOFTAC SIG 32 7th Workshop on PIV, Lisbon, 9–10 July 2004

  • Kähler C, Kompenhans J (2000) Fundamentals of multiple plane stereo particle image velocimetry. Exp Fluids 29:S70–S77

    Article  Google Scholar 

  • Kiger KT, Pan C (2000) PIV technique for the simultaneous measurement of dilute two-phase flows. J Fluids Eng 122:811–818

    Article  Google Scholar 

  • LaVision (2003) DaVis PIV-Manual. LaVision GmbH, Goettingen, Germany

  • Meyer KE, Westerweel J (2000) Advection velocities of flow structures estimated from particle image velocimetry measurements in a pipe. Exp Fluids 29:S237–S247

    Article  Google Scholar 

  • Nobach H, Damaschke N, Tropea C (2004) High-precision sub-pixel interpolation in PIV/PTV image processing. In: Proceedings of the 12th international symposium on application of laser technology to fluid mechanics, Lisbon, Portugal, Paper No. 24.1

  • Scholz U, Kähler C (2004) Automated image processing and segmentation for mask generation in PIV. In: Proceedings of the 12th international symposium on application of laser technology to fluid mechanics, Lisbon, Portugal, Paper No. 18.1

  • Todd DR, Hassan YA (2001) Analysis of bubbly flow using particle image velocimetry. In: Proceedings of the fourth international symposium on particle image velocimetry, Göttingen, Germany, 17–19 September, Paper No. 1090

  • Wereley ST, Gui L, Meinhart CD (2002) Advanced algorithms for microscale particle image velocimetry. AIAA J 40:1047–1055

    Google Scholar 

  • Westerweel J (1997) Fundamentals of digital particle image velocimetry data. Meas Sci Technol 8:1379–1392

    Google Scholar 

  • Willert C (1997) Stereoscopic digital particle image velocimetry for application in wind tunnel flows. Meas Sci Technol 8:1465–1479

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Markus Honkanen.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Honkanen, M., Nobach, H. Background extraction from double-frame PIV images. Exp Fluids 38, 348–362 (2005). https://doi.org/10.1007/s00348-004-0916-x

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00348-004-0916-x

Keywords

Navigation