A new spatial phase-unwrapping algorithm based on single-pixel binarized (SPB) line pattern is proposed. The conventional spatial phase-unwrapping method produces easily the accumulation and propagation of errors for the wrapped phase in the regions with isolated 2π jumps generated by shadow and sharp changing surfaces. In this paper, the SPB deformed line pattern extracted by the proposed small window retrieval method can determine accurately the corresponding fringe order; then the wrapped phase is unwrapped point-to-point, in which the small window is adaptive for each light line. The measuring accuracy of the proposed method is close to the quality-guided method with high precision, but it performs simultaneously at higher robustness to measure a multi-object image. Only one additional SPB line pattern is projected and the phase-unwrapping process does not involve a time-consuming point-by-point sorting, so the proposed method can be applied to the real-time 3D measurement. The experimental results verify the feasibility and effectiveness of the proposed method.

提出了一种新的基于单像素二值化(SPB)线型的空间相位展开算法。传统的空间相位解缠方法很容易在孤立的 2 π区域内产生缠绕相位误差的累积和传播。由阴影和急剧变化的表面产生的跳跃。本文提出的小窗口检索方法提取的SPB变形线图案可以准确确定相应的条纹阶次；然后将包裹的相位点对点展开，其中小窗口对每条光线都是自适应的。所提方法的测量精度接近于质量导向法，精度较高，但同时具有较高的鲁棒性来测量多目标图像。仅投影一个额外的 SPB 线图案，并且相位展开过程不涉及耗时的逐点排序，因此所提出的方法可以应用于实时 3D 测量。实验结果验证了所提方法的可行性和有效性。