An Information Acquisition Method Based on Dragonfly Vision Mechanism for Observed Target Displacement Measurement

摘要

In recent years, river surface optical imaging velocimetry method has been developed as a feasible means for non-contact river flow measurement during extreme flow conditions. However, due to the complex and variable physical and chemical properties of observed targets (i.e., flow tracers), and the various light disturbances, this kind of method is difficult to acquire the optical information of the observed targets precisely, which will induce failure in the following reconstruction of flow field as well as the river discharge measurement. To solve these problems, this paper presents a novel information acquisition method for observed target displacement measurement, which is inspired by dragonfly vision mechanism. It first designs a three-channel CMOS synchronous polarization imaging system to capture the polarization images of the river surface in three directions synchronously. Then, Stokes vectors are selected to compute the polarization degree image. Experimental results show that this method can improve the acquisition accuracy of the observed targets and provide a solid basis for the large-scale particle image velocimetry system.