轮廓仪
乘法(音乐)
非线性系统
相(物质)
保险丝(电气)
错误检测和纠正
计算机科学
算法
误差分析
观测误差
光学
数学
物理
应用数学
统计
声学
量子力学
表面粗糙度
作者
Wen Zhang,Ze Li,Shuo Shan,Peng Xu,Jintao Liu,Jianhua Wang
摘要
The generic self-correction method for nonlinearity-induced phase error (GSCN) can effectively suppress nonlinear error. However, GSCN directly ignores the periodic error of the 2N multiplication frequency in the error analysis stage, which still leads to errors in the suppressed results. In this paper, we propose a new method named improved generic self-correction method for nonlinearity-induced phase error in three-step phase-shifting profilometry. We retain the periodic error of the 2N multiplication frequency in the error analysis stage. In addition, based on the error model, we directly use the original fringes to compute the wrapped phases with -π/6, π/6, and π/3 phase shifts, respectively. Then, we use the original wrapped phase as the target phase and shifted the other three groups of wrapped phases to the target phase. Finally, we unwrap and fuse the four sets of wrapped phases to obtain the final corrected phase. Based on experimental results, the proposed method yields excellent reconstruction results and effectively suppresses nonlinear errors, making it highly efficient and precise.
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