Advanced Search
Volume 32 Issue 2
Aug.  2010
Turn off MathJax
Article Contents
Lu Zong-qing, Liao Qing-min, Pei Ji-hong. A PIV Approach Based on Nonlinear Filtering[J]. Journal of Electronics & Information Technology, 2010, 32(2): 400-404. doi: 10.3724/SP.J.1146.2009.00068
Citation: Lu Zong-qing, Liao Qing-min, Pei Ji-hong. A PIV Approach Based on Nonlinear Filtering[J]. Journal of Electronics & Information Technology, 2010, 32(2): 400-404. doi: 10.3724/SP.J.1146.2009.00068

A PIV Approach Based on Nonlinear Filtering

doi: 10.3724/SP.J.1146.2009.00068
  • Received Date: 2009-01-16
  • Rev Recd Date: 2009-08-17
  • Publish Date: 2010-02-19
  • For fluid motion image computation (PIV), a nonlinear filtering based PIV approach was proposed which can obtain reliable motion vector, div and curl fileds. As variational based PIV approaches the new approach is a nonlinear filtering process instead of an energy minimizing process, which can overcome the shortage of correlation based PIV approaches and avoid the restrictions of convexity and differentiability required by classical variational approaches. Experimental results from real particle image sequences demonstrated that the new method can help to suppress the computation noise and increase the reliability of fluid motion characteristic and structural descriptions.
  • loading
  • Corpetti T, Heitz D, Arroyo G, Mmin E, and Santa-Cruz A. Fluid experimental flow estimation based on an optical-flow scheme. Experiments in Fluids, 2005, 40(1): 80-97.[2]Raffel M, willert C, and kompenhans J. Particle Image Velocimetry. A Practical Guide. Berlin: Springer, 2nd edition, 2001: 35-40.[3]Sakaino H. Fluid motion estimation method based on physical properties of waves. IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, AK, USA, 2008: 1-8.[4]Wernet M P. Fuzzy logic particle tracking velocimetry. Proceedings of the SPIE Conference on Optical Diagnostics in Fluid and Thermal Flow, SPIE, Bellingham, WA, 1993: 701-708.[5]Ruhnau P, Guetter C, Putze T, and Schnrr C. A variational approach for particle tracking velocimetry[J].Measurement Science and Technology.2005, 16(7):1449-1458[6]Chetverikov D, Nagy M, and Veresty J. Comparison of tracking techniques applied to digital PIV. Proc. International Conf. on Pattern Recognition, Barcelona, Spain, 2000, 4: 233-242.[7]Grant I. Particle image velocimetry: A review. Journal of Mechanical Engineering Science, 1997, 211(1): 55-76.[8]Gui L and Wereley S T. A correlation-based continuous window-shift technique to reduce the peak-locking effect in digital PIV image evaluation[J].Experiments in Fluids.2002, 32(4):506-517[9]Lourenco L M and Krothapalli A. True resolution PIV: a mesh-free second order accurate algorithm. The 10th International symposium on applications of laser techniques in fluid mechanics, Lisbon, Portugal, July 2000.[10]Corpetti T, Has P, Mmin E, and Papadakis N. Pressure image assimilation for atmospheric motion estimation. Tellus Series A: Dynamic Meteorology and Oceanography, 2008, 6(31): 160-178.[11]Horn B and Schunck B. Determining optical flow[J].Artificial Intelligence.1981, 17(1):185-203[12]Lu Z Q, Xie W X, and Pei J H. A robust optical flow computation. Journal of Electronics(China), 2007, 24(5): 635-641.[13]Heitz D, Has P, Mmin E, and Carlier J. Dynamic consistent correlation-variational approach for robust optical flow estimation[J].Experiments in Fluids.2008, 45(4):595-608[14]Ruhnau P, Stahl A, and Schnrr C. Variational estimation of experimental fluid flows with physics-based spatio-temporal regularization[J].Measurement Science and Technology.2007, 18(1):755-763[15]Barash D and Comaniciu D. A common framework for nonlinear diffusion, adaptive smoothing, bilateral filtering and mean shift. Image and Video Computing, 2003, 22(1): 73-81.[16]Tomasi C and Manduchi R. Bilateral filtering for gray and color images. Proceedings of the IEEE International Conference on Computer Vision, Bombay, India, 1998: 839-846.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (3174) PDF downloads(977) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return