Study on Applicability of Fluid Motion Prediction Technology Based on Optical Flow Method
Unlike particle image velocimetry,which has difficulty in guaranteeing both measurement accuracy and spatio-temporal resolution,fluid motion estimation based on optical flow method can obtain dense velocity vector field with high resolution.To evaluate the applicability of this method in fluid motion estimation,three classical optical flow algorithms are tested by using open source particle image,scalar image and schlieren image sequences with flow conditions from simple to complex,and the performance of each algorithm is evaluated in quality and quantity.The results show that the traditional HS optical flow algorithm is suitable for most flow conditions,but performs poorly when the gray gradient changes are not obvious,the variational optical flow algorithm based on random turbulent flow model is more stable,and it is more suitable to capture the wake region of the turbine blade schlieren image and estimate the transport velocity of the wake vortex after adding the weighted nonlocal smoothing term to the HS objective function.
万方数据
维普
