A New Super-Resolution PIV Accelerated by Characteristic Pixel Selection

Article type: Research Article

Authors: Yamamoto, Y. | Uemura, T.

Affiliations: Department of Systems Management Engineering, Kansai University, Yamate-cho 3-3-35, Suita, Osaka, 564-8680, Japan. E-mail: [email protected]

Abstract: A new high-speed super-resolution PIV was proposed using characteristic pixel selection to accelerate the successive abandonment (SA) with recursive window subdivision. The performance and applicability of the proposed PIV were evaluated. In the SA calculation with the characteristic pixel selection, 1000 candidates are narrowed down to only one at over 50% of the measurement points, and the number of error vectors is reduced because the difference between the cumulative intensities of a correct candidate and of other ones becomes clear due to the characteristics of selected pixels. In all recursive processes, error checks are carefully performed using the summation of the distribution of the cumulative intensity difference distribution, which is suitable for the SA method. In a comparison of the time per velocity vector, the present super-resolution PIV was shown to be 10 times faster than the former ordinary resolution PIV. Another feature of the present super-resolution PIV is that the velocity vectors are obtained in the region very close to the image boundaries and masked regions by using the recursive algorithm.

Keywords: Super-resolution PIV, Successive abandonment method, Characteristic pixel selection, Boundary region, Mask

Journal: Journal of Visualization, vol. 6, no. 3, pp. 263-272, 2003