Image measurement of fluid velocity distribution based on temporal correlation function

Recent advancement of computational environments allows us to handle not only two consecutive frames for image motion measurement. In this paper, we propose a novel method of image measurement of fluid velocity distribution using dynamic images of the flow, which is based on the temporal correlation function of the local domain. We made the fluid circulatory system to obtain the dynamic image of the water stream. Then we examined the effectiveness of the calculation cost and the measurement accuracy of the proposed method to measure the velocity vector field comparing with the conventional cross correlation and the human's visual observation. Moreover, we applied our method to the velocity measurement of blood flow in the arteriole to evaluate its practicality.