Spatial Filtering Velocimetry by Dynamic Image Processing

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Abstract
A flexible velocimetry based on dynamic image processing is proposed. Through an analogy of spatial filter technique and laser Doppler velocimetry, a raw dynamic scene is transformed to a scene superposed with a sinusoidal spatial pattern of gray-levels. Using temporal change of accumulated gray value of each frame, we can evaluate velocity information of moving particles by spectral analysis. The validity and usefulness of the velocimetry are confirmed using artificial images created by computer simulation. The effectiveness of the maximum entropy method in the spectral analysis is also emphasized.

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