流场可视化中的运动矢量估计方法

Motion Vector Estimation Algorithm for Digital Particle Image Velocimetry

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．

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.