Abstract

Data-stitching algorithms are widely used to combine multiple sequential data or extend the working area of measurement systems. However, stitched data by the least squares method have inconsistency at the intersections due to their measurement errors, mainly drift error. We propose a new stitching algorithm, to the best of our knowledge, that considers sequential data as an elastic body. We examine the algorithm with several types of sequential data and confirm mitigating of error of drift.

© 2022 Optica Publishing Group

DIC measurement for large-scale structures based on adaptive warping image stitching

Long Sun, Chen Tang, Min Xu, and Zhenkun Lei
Appl. Opt. 61(22) G28-G37 (2022)

Modified stitching algorithm for annular subaperture stitching interferometry for aspheric surfaces

Yongfu Wen, Haobo Cheng, Hon-Yuen Tam, and Dongmei Zhou
Appl. Opt. 52(23) 5686-5694 (2013)

Accuracy analysis and improvement of an algorithm-based stitching interferometry method for curved mirrors with large radii of curvature

Xudong Xu, Qiushi Huang, Qiaoyu Wu, Yumei He, Xiaohao Dong, Jie Wang, Zhong Zhang, and Zhanshan Wang
OSA Continuum 2(10) 2783-2794 (2019)

Three-dimensional stitching of stereo-deflectometry based on marker points

Xiaoxiao Wei, Hao Zhang, Tianmei Zou, and ZhenLei Wang
Appl. Opt. 61(25) 7323-7329 (2022)

Calibrating system errors of large scale three-dimensional profile measurement instruments by subaperture stitching method

Zhichao Dong, Haobo Cheng, Yunpeng Feng, Jingshi Su, Hengyu Wu, and Hon-Yuen Tam
Appl. Opt. 54(19) 5962-5969 (2015)