Simulated and experimental molecular tagging velocimetry (MTV) images have been analyzed with a technique commonly used to process grid images on surfaces, the windowed Fourier transform with local spectrum analysis (WFT-LSA). A systematic synthetic image study of the modulation transfer function (MTF) and error tendencies of the WFT-LSA was performed and compared with a PIV-style cross-correlation algorithm to see if advanced strategies such as iterative image deformation can improve analysis of gridded images with high noise levels. Testing of single-pass algorithms showed that in typical MTV images, the WFT-LSA yields significantly lower bias errors than cross-correlation (CC) at displacements greater than 1 pixel but slightly higher random error at all displacements and image conditions. Analysis of the MTF shows that CC provided better resolution of spatial fluctuations than the WFT-LSA in many combinations of grid size and interrogation window. Tests of image deformation a...

中文翻译：

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窗口傅里叶变换和互相关算法用于分子标记测速

模拟和实验分子标记测速（MTV）图像已使用通常用于处理表面网格图像的技术进行了分析，该技术是通过局部光谱分析（WFT-LSA）进行的开窗傅立叶变换。对WFT-LSA的调制传递函数（MTF）和误差趋势进行了系统的合成图像研究，并将其与PIV风格的互相关算法进行比较，以查看诸如迭代图像变形之类的高级策略是否可以改善网格图像的分析高噪音水平。单遍算法的测试表明，在典型的MTV图像中，当位移大于1个像素时，WFT-LSA产生的偏差误差比互相关（CC）低得多，但在所有位移和图像条件下，其随机误差均稍高。对MTF的分析表明，在网格大小和询问窗口的许多组合中，CC比WFT-LSA提供了更好的空间波动分辨率。图像变形测试