Analysis of PIV Image Using Modal Wavelet Transform: Proposal of a Modal Wavelet Transform and Application to PIV Image Analysis Conference Paper uri icon


  • Particle image velocimetry (PIV) vector image data of a uniform flow and of arbitrary length is decomposed using a new modal wavelet transform with both Dirichlet and Neumann boundary conditions. The Neumann boundary condition is found to be most suitable for PIV vector image data of a uniform flow. It is also found that when the summation of multi-resolution data is performed for more than 10 levels, the number and severity of error vector increases.

name of conference

  • Volume 2: Symposia, Parts A, B, and C

published proceedings

  • Volume 2: Symposia, Parts A, B, and C

author list (cited authors)

  • Yamazaki, T., Takei, M., Hassan, Y. A., Villafuerte, J. O., Saito, Y., & Horii, K.

citation count

  • 0

complete list of authors

  • Yamazaki, Teruyoshi||Takei, Masahiro||Hassan, Yassin A||Villafuerte, Javier Ortiz||Saito, Yoshifuru||Horii, Kiyoshi

publication date

  • January 2003