基于超分辨率图像重建的在线相位测量轮廓术

Online Phase Measurement Profilometry Based on Super-resolution Image Reconstruction

在线物体运动速度过快时会导致采集的变形条纹出现运动模糊,从而丢失相位信息。通过调节相机的图像采集模式可以提高相机的采集帧率,但势必会牺牲相机的分辨率。为了获得高分辨率变形条纹,采用基于最大后验概率的超分辨图像重建方法,使用高斯模型和马尔可夫-吉布斯随机场模型构建高分辨率变形条纹图的后验概率模型,通过目标函数最小化得到高分辨率变形条纹图的最优估计,实现超分辨率条纹图像提纯,最后将所有提纯后的等效相移变形条纹图用相位测量轮廓实现在线三维轮廓重构。实验结果证明了该方法的有效性。所提方法在高精度快速在线三维测量中具有很好的应用前景。

Due to the fast-moving measured online object,the captured deformed fringe patterns with motion blur may lose the phase information.Therefore,by adjusting the CCD image acquisition mode,the CCD acquisition frame rate can be increased to adapt to the online measurement of fast moving objects.In order to obtain high-resolution deformed fringe patterns,this paper adopts a super resolution reconstruction method based on the maximum a posteriori,using Gauss and markov-gibbs random field models to construct posteriori probability of the high-resolution deformed fringe pattern,the optimal estimation of high-resolution deformed fringe patterns is obtained as the result of minimizing the objective function.In this way the deformed fringe patterns can be purified.Finally all the purified equivalent phase-shift deformed fringe patterns are used for online 3D reconstruction.The experimental results prove the effectiveness of this method.The proposed method has good application prospects in high-precision and fast online 3D measurement.