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粒子匹配方法是准确获取表面流场的关键。本文详细阐述了新近提出的基于光流算法PyrLK“角点-质心”法的基本原理及具体实现过程,采用该方法对弯道水槽中较复杂的表面流场进行计算,并与目前较为先进的匹配几率法进行了对比。结果表明,对于本文所示的复杂流场,匹配几率法计算结果很大程度上依赖于对运动矢量允许偏差等参数的选取,且还会出现由于提取到非示踪粒子的质心并使其参与计算而产生的误匹配;而PyrLK“角点-质心”法只与运动图像特征信息相关,无示踪粒子特定匹配规则的假定,在复杂流场中能较好地实现粒子的跟踪与匹配。与匹配几率法相比,PyrLK“角点-质心”法对于复杂表面流场计算具有更好的适应性。
Particle matching method is the key to accurately obtain the surface flow field. In this paper, the basic principle and implementation process of the PyrLK “corner-centroid ” method based on the optical flow algorithm are introduced in detail in this paper. The more complex surface flow field in the curve channel is calculated by this method. Advanced matching probability method was compared. The results show that for the complex flow field shown in this paper, the results of the matching probability method depend largely on the selection of parameters such as the allowable deviation of the motion vector, etc., and due to the extraction of the centroid of the non-tracer particles and their involvement And PyrLK “corner-centroid ” method is only related to the feature information of moving images without the specific matching rules of the tracer particles, which can be used to track the particles well in the complicated flow field match. Compared with the matching probability method, PyrLK “corner - centroid ” method for complex surface flow field calculation has better adaptability.