粒子图像测速
粒子跟踪测速
光学
测速
互相关
预处理器
流量(数学)
光流
数字图像相关
参数统计
物理
图像(数学)
计算机科学
数学
计算机视觉
机械
数学分析
统计
湍流
作者
Tianshu Liu,David M. Salazar,Hassan Fagehi,Hassan Ali Ghazwani,Javier Montefort,Parviz Merati
出处
期刊:Journal of Fluids Engineering-transactions of The Asme
[ASM International]
日期:2019-12-03
卷期号:142 (5)
被引量:26
摘要
Abstract A hybrid method for particle image velocimetry (PIV) is developed to overcome the limitations of the optical flow method applied to PIV images with large displacements. The main elements of the hybrid method include a cross-correlation scheme for initial estimation, a shifting scheme for generating a shifted image, and an optical flow scheme for obtaining a refined high-resolution velocity field. In addition, a preprocessing scheme is used for correcting the illumination intensity change. The accuracy of the hybrid method is evaluated through simulations in a parametric space in comparison with the typical correlation methods and optical flow method. Further quantitative comparisons are made in PIV measurements in a circular air jet.
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