粒子图像测速
计算机科学
平滑的
插值(计算机图形学)
MATLAB语言
估计员
像素
测速
计算机视觉
用户友好型
流量(数学)
计算机图形学(图像)
图像(数学)
人工智能
光学
物理
数学
统计
湍流
热力学
操作系统
几何学
作者
William Thielicke,Eize J. Stamhuis
摘要
Digital particle image velocimetry (DPIV) is a non-intrusive analysis technique that is very popular for mapping flows quantitatively. To get accurate results, in particular in complex flow fields, a number of challenges have to be faced and solved: The quality of the flow measurements is affected by computational details such as image pre-conditioning, sub-pixel peak estimators, data validation procedures, interpolation algorithms and smoothing methods. The accuracy of several algorithms was determined and the best performing methods were implemented in a user-friendly open-source tool for performing DPIV flow analysis in Matlab.
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