We proposed a subaperture stitching method for concave–convex microstructured surfaces. The method is mainly based on wavelet transform (WT) and three-dimensional (3D) data matching. WT is applied to separate the high-frequency information from the low-frequency information, then the speeded-up robust feature-random sample consensus algorithm is used to match 3D surface data and calculate lateral displacement between adjacent subapertures. Finally, the pose is adjusted to obtain the stitching result. Simulations and experiments show that the proposed method can effectively stitch concave–convex microstructured surfaces.

中文翻译：

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基于小波变换三维数据匹配的微结构表面拼接

我们提出了一种用于凹凸微结构化表面的亚孔径拼接方法。该方法主要基于小波变换（WT）和三维（3D）数据匹配。应用WT将高频信息与低频信息分离，然后使用加速的鲁棒特征-随机样本共识算法来匹配3D表面数据并计算相邻子孔之间的横向位移。最后，调整姿势以获得缝合结果。仿真和实验表明，该方法可以有效地缝制凹凸微结构表面。