基于光流法的粒子图像测速

以对粒子图像测速为目标,使用光流场针对数字图像建立整体光流模型,计算出粒子图像各像素点的速度场。对比不同粒子条件下的速度场从而获得符合光流法测试的粒子图像。采用了基于微分方程的Lucsa-kanade光流场计算方法,对流场显示进行定量化测速,实现对了流场的瞬态测量。光流法应用于粒子图像测速技术中,可用于速度场计算,也可用于修正原有的互相关算法得到的错误矢量。

Particle Image Velocimetry Based on Optical Flow

TO speed as the goal of particle image,using the optical flow field to model the optical flow for a digital image, it is feasible to calculate the velocity field for each pixel in PIV.Comparing the different particles under the condition of the velocity field so as to achieve paticle image according with optical flow test method. In this paper the Lucsa-kanade algorithm is implemented and performance evaluation is conducted. Optical flow plays important roles in PIV, which can find out the velocity field and helps to correct misleading results obtained by traditional PIV methods.