Motion Vector Estimation Algorithm for Digital Particle Image Velocimetry

Wang Xingguo; Liu Jilin; Gu Weikang

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Motion Vector Estimation Algorithm for Digital Particle Image Velocimetry

更新时间：2025-12-08

- Motion Vector Estimation Algorithm for Digital Particle Image Velocimetry
- Acta Electronica Sinica Issue 2, (1999)
- 作者机构：
  
  浙江大学信电系信息与智能系统研究所
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN919.8
- Published：1999
- 稿件说明：
移动端阅览
[1]王兴国,刘济林,顾伟康.流场可视化中的运动矢量估计方法[J].电子学报,1999(02):100-103.

Wang Xingguo, Liu Jilin, Gu Weikang. Motion Vector Estimation Algorithm for Digital Particle Image Velocimetry[J]. Acta Electronica Sinica, 1999, (2).
[1]王兴国,刘济林,顾伟康.流场可视化中的运动矢量估计方法[J].电子学报,1999(02):100-103. DOI：

Wang Xingguo, Liu Jilin, Gu Weikang. Motion Vector Estimation Algorithm for Digital Particle Image Velocimetry[J]. Acta Electronica Sinica, 1999, (2). DOI：

摘要

本文提出一种新的运动矢量估计的方法．其基本思想是先对流体图像进行予处理，再采用序贯相似性检测算法（ＳＳＤＡ）快速得到像素精度的位移量，最后再在像素范围内使用相位拟合算法（ＰＥＡ）快速且方便地估计出亚像素的位移精度．虽然本方法是基于流体运动分析的数字粒子图像测速（ＤＰＩＶ），但其基本原理可广泛地用于一般的运动矢量估计．

Abstract

In this paper the basic principle of Digital Particle Image Velocimetry （DPIV） is presented.After the analysis of the conventional algorithm a new motion vector estimation algorithm is proposed for DPIV.The main idea is that the original images are preprocessed firstly to decorrelate

then the sequential similarity detection algorithm （SSDA） is connected with the phase estimation algorithm （PEA） to get much shorter processing time and higher precision conveniently.It makes the near real time processing possible.Although this method is proposed for DPIV

the basic idea can be used in general motion vector estimation.

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