Open AccessPhase unwrapping based on adaptive image in-painting of fringe patterns in measuring gear tooth flanks by laser interferometry
Author(s) -
Wang Xian,
Suping Fang,
Xindong Zhu,
Ke Kou,
Yun Liu,
Mingxing Jiao
Publication year - 2020
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.395453
Subject(s) - inpainting , interferometry , optics , phase (matter) , computer science , artificial intelligence , computer vision , phase unwrapping , image quality , orientation (vector space) , image (mathematics) , physics , mathematics , geometry , quantum mechanics
Phase unwrapping in regions of abnormal fringes remains an unresolved issue. In this paper, we present an approach that combines an image-inpainting strategy based on an adaptive window which is obtained according to the density and orientation of fringe patterns and a quality-guided algorithm for phase unwrapping. First, a threshold is set to a quality map to detect the target region. Second, the target region is filled with new phase values by the adaptive image-inpainting method. Then, a quality-guided phase unwrapping algorithm is applied to this newly generated wrapped phase map. Finally, postprocessing of the unwrapped result is performed. The method is validated through several simulation and experiments. The results demonstrate that the proposed algorithm is effective in the presence of abnormal fringes.