中国光学（中英文）2025，Vol.18Issue(1)：42-52,11.DOI:10.37188/CO.2024-0087
面向高反光表面的结构光面形测量方法
Structured light surface shape measurement method for highly reflective surfaces
摘要
Abstract
The complex reflective properties of highly reflective surfaces bring overexposure and underex-posure problems to surface structured light technology.In order to reconstruct the measured surface com-pletely and accurately,a multiple exposure method is proposed in this paper.The proposed method can pre-dict the exposure time according to the reflective intensity of the measured surface.Firstly,the camera re-sponse curve of the imaging system is obtained by projecting a series of uniform gray images at different ex-posure times,and the irradiance image that can reflect the reflection intensity of the measured surface is cal-culated.Then,the fuzzy C-means clustering method is used to adaptively segment different irradiance re-gions of the target and obtain the central irradiance of each region.The optimal exposure time is predicted for different reflection regions based on the camera response curve.Finally,the 3D reconstruction of the highly reflective surface is realized by combining the multiple exposure fusion algorithm.The experimental results show that the proposed method can simultaneously reconstruct the strongly reflective area and the excess-ively dark area of the aluminum alloy surface,with a reconstruction error of less than 0.5 mm,the maximum deviation reduced by 74.78％,and the standard deviation reduced by 48.96％.The proposed method can cor-rectly predict the exposure time according to regional reflection characteristics,effectively overcome the problems of phase loss and phase distortion caused by regional overexposure and regional darkness,and completely and accurately reconstruct different reflection regions of highly reflective surfaces.关键词
高反光表面/结构光/多重曝光/辐照度/聚类分割Key words
highly reflective surface/structured light/multiple exposure/irradiance/clustering segmentation分类
机械制造引用本文复制引用
汪运,郭建英,梁浚哲,朱峰,陈光希,任茂栋,梁晋..面向高反光表面的结构光面形测量方法[J].中国光学（中英文）,2025,18(1):42-52,11.基金项目
国家重点研发计划项目(No.2022YFB4601802) （No.2022YFB4601802）
国家自然科学基金资助项目(No.52275543)Supported by National Key R & D Program of China(No.2022YFB4601802) （No.52275543）
National Natural Science Foundation of China(No.52275543) （No.52275543）
