To quantitatively reveal the motion law of the flow field on the wing surface in flight condition, a visual-based method of tuft identification and streamline visualization is introduced. A binocular camera is used to capture the video of the dynamic motion of the tuft with the air, and an extreme value filtering algorithm for anti-interference points is designed to identify the corner points of the tuft, so as to realize the accurate extraction of the position and direction of the tuft. Finally, the fitting and visualization of the streamlines of the wing surface are realized by the Tecplot interpolation method, which provides technical support for the flow field measurement on the aircraft wing surface under real flight conditions.