气液两相流中改进图像互相关测速的完整实现

Complete approach to velocity field measurement with improved image cross-correlation method in gas-liquid two phase flow

针对气液两相流中密集气(液)相速度场准确测量的需要,提出了改进图像互相关测速的完整实现方法。基于傅里叶变换的图像互相关测速原理,采用回归迭代互相关算法以提高测量精度,基于相邻速度属性对误矢量进行修正,并采用亚像素拟合方法准确定位,通过对不同拟合算法进行比较,验证了3点高斯拟合算法的优越性。实验结果表明,本文提出的测量方案可以有效提高图像互相关测速的精度。

To measure the velocity field of dense gas（liquid） in gas-liquid two phase flow accurately,a complete approach for velocity measurement with improved image cross-correlation method is presented.Based on the theory of fast Fourier transformation image cross correlation,the method measures the velocity field with a recursive cross correlation algorithm to improve the measurement precision,corrects the false vectors based on the attribute of adjacent velocity vectors,and locates the velocity vector more accurately with a sub-pixel fitting algorithm.Different sub-pixel fitting algorithms are compared,and the 3 points Gaussian fitting algorithm is verified to be better.The experimental results show that the proposed method can improve the measurement accuracy of the velocity field effectively.