PIV error correction
PIV error correction
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DOI：
10.1007/978-3-642-56963-0_2
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发表时间：
2000-07
影响因子：
2.4
通讯作者：
Douglas P. Hart
中科院分区：
文献类型：
--
作者：
Douglas P. Hart
提出了一种消除粒子图像测速（PIV）亚像素误差和伪矢量的非后询问方法。与依赖于相邻向量的准确性或相似性的方法不同，在使用可用的空间和/或时间数据丢弃相关信息之前消除误差。通过对从相邻区域计算的相关表进行直接的逐元素比较，从数据集中去除异常。其结果是一种处理技术，产生一个对称的相关轮廓表示在合并的区域的边界处的速度。这种基于相关性的校正（CBC）技术极大地提高了子像素精度，并且对边界外粒子运动、粒子重叠、不匹配粒子相关性以及电子和光学成像噪声具有高度鲁棒性。
A non-post-interrogation method of reducing subpixel errors and eliminating spurious vectors from particle image velocimetry (PIV) results is presented. Unlike methods that rely on the accuracy or similarity of neighboring vectors, errors are eliminated before correlation information is discarded using available spatial and/or temporal data. Anomalies are removed from the data set through direct element-by-element comparison of the correlation tables calculated from adjacent regions. The result is a processing technique that yields a symmetric correlation profile representing the velocity at the boundary of the combined regions. This correlation based correction (CBC) technique greatly improves subpixel accuracy, and is highly robust to out-of-boundary particle motion, particle overlap, unmatched particle correlations, and electronic and optical imaging noise.