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首页> 外文期刊>Experiments in Fluids: Experimental Methods and Their Applications to Fluid Flow >Two-dimensional Gaussian regression for sub-pixel displacement estimation in particle image velocimetry or particle position estimation in particle tracking velocimetry
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Two-dimensional Gaussian regression for sub-pixel displacement estimation in particle image velocimetry or particle position estimation in particle tracking velocimetry

机译:二维高斯回归用于粒子图像测速中的子像素位移估计或粒子跟踪测速中的粒子位置估计

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摘要

An explicit solution of two-dimensional Gaussian regression for the estimation of particle displacement from the correlation function in particle image velocimetry (PIV) or particle position from the images in particle tracking velocimetry (PTV) with sub-pixel accuracy is introduced. The accuracy and the ability of the methods to avoid pixel locking due to non-axially orientated, elliptically shaped particle images or correlation peaks are investigated using simulated and experimentally obtained images.
机译:介绍了一种二维高斯回归的显式解决方案,该算法可以根据粒子图像测速(PIV)中的相关函数估计粒子位移,或者根据粒子跟踪测速(PTV)中的图像以子像素精度估计粒子位置。使用模拟和实验获得的图像,研究了该方法的准确性和避免由于非轴向取向,椭圆形粒子图像或相关峰而导致的像素锁定的能力。

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