High Speed and High Resolution PIV for Gray Scale Image using Three Spatio-Temporal Derivatives

• IDO Takehiro

  Fukui University

• MURAI Yuichi

  Fukui University

• YAMAMOTO Fujio

  Fukui University

Bibliographic Information

Other Title

• 114 3時刻時空間微分法によるGray Scale ImageのPIV処理の高速・高精度化
• 3 ジコク ジクウカン ビブンホウ ニヨル Gray Scale Image

Abstract

The brightness distribution cross correlation method which is used widely in PIV measurement for gray scale image takes a long CPU time to obtain the flow velocity due to searching the maximum correlation region. To the contrary, an effective PIV algorithm using spatio-temporal derivatives was proposed by Okuno et al. However it needs a flow field model to supplement the lack of information obtained by two consecutive images. In present paper, a new method using three spatio-temporal derivatives is proposed, in which three consecutive images are used to obtain pure measurement value with short CPU time. The performance of the method is examined by uniform flow, two-dimensional vortex flow and meteorological satellite image.

Journal

• Journal of the Visualization Society of Japan

  Journal of the Visualization Society of Japan 18 (Supplement1), 71-74, 1998

  The Visualization Society of Japan

Details

• CRID: 1390282679596262784
• NII Article ID: 10002675539
• NII Article ID: 130003648905
• NII Book ID: AN10374478
• DOI: 10.3154/jvs.18.supplement1_71
• ISSN: 1884037X
• ISSN: 09164731
• NDL BIB ID: 4511012
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I4511012
• Text Lang: ja
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed