受噪声或探测器的非线性响应等影响,采用光学三维轮廓术装置实际摄取的条纹图的光强具有非正弦性分布的特点,这导致现有的随机相移提取算法在应用中存在计算不稳定的问题。对此,提出了一种两帧随机时域相移条纹图相移提取方法。该方法首先采用克莱姆正交化方法对条纹图进行处理,然后发展了一种基于矩阵范数的相移提取算法,进而应用二步相移算法获得了测量相位。由于使用了反正切函数解算相移,所提方法对非正弦条纹图不敏感,具有求解可靠、应用容易的特点。实验结果表明,所提方法精度高、速度快,优于现有的典型算法。

Due to the effect of the noise or the nonlinear response of detector, the intensity of the light intensity of the actual stripes taken by the optical 3D profilometry device has the characteristics of nonsinusoidal distribution, which leads to the problem of computational instability in the application of the existing random phase shift extraction algorithm in the application. A phase shift extraction method of two random temporal phase shifting fringe patterns is proposed. Firstly, the proposed method deals with the fringe patterns based on Gram-Schmidt orthonormalization method. Then a phase shift extraction algorithm based on matrix norm is developed. At last the two step phase shifting algorithm is applied to get the measurement phase. Because of the use of inverse tangent function in solving the phase shift, the proposed method is not sensitive to the nonsinusoidal fringe pattern, and has the characteristics of reliable solution and easy application. The experimental results show that the proposed method has high precision and fast speed, which is superior to the existing typical algorithms.