|本期目录/Table of Contents|

[1]郑明辉,张家连,沈梦洁,等.基于自动曝光的高反表面测量方法[J].武汉工程大学学报,2026,48(01):90-94.[doi:10.19843/j.cnki.CN42-1779/TQ.202502009]
　ZHENG Minghui,ZHANG Jialian,SHEN Mengjie,et al.Measurement method for highly reflective surfaces based on automatic exposure[J].Journal of Wuhan Institute of Technology,2026,48(01):90-94.[doi:10.19843/j.cnki.CN42-1779/TQ.202502009]
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基于自动曝光的高反表面测量方法
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《武汉工程大学学报》[ISSN:1674-2869/CN:42-1779/TQ]

卷:
48
期数:
2026年01期
页码:
90-94
栏目:
智能制造
出版日期:
2026-02-28

文章信息/Info

Title:
Measurement method for highly reflective surfaces based on automatic exposure
文章编号:
1674 - 2869（2026）01 - 0090 - 05
作者:
郑明辉1; 2; 张家连1; 2; 沈梦洁1; 2; 张 平1; 2; 郑亚雨1; 2; 廖 青*1; 2
1.武汉工程大学光电信息与能源工程学院，湖北 武汉 430205；
2.光学信息与模式识别湖北省重点实验室（武汉工程大学），湖北 武汉 430205
Author(s):
1. School of Optical Information and Energy Engineering，Wuhan Institute of Technology，Wuhan 430205，China;
2. Hubei Key Laboratory of Optical Information and Pattern Recognition （Wuhan Institute of Technology），Wuhan 430205，China
关键词:
条纹投影轮廓术; 多次曝光; 三维测量; 结构光
Keywords:
fringe projection profilometry;  multiple exposures;  3D measurement;  structured light
分类号:
TP391
DOI:
10.19843/j.cnki.CN42-1779/TQ.202502009
文献标志码:
A
摘要:
当条纹投影轮廓术用于测量高反表面时，在物体的高反射区域会出现饱和现象，导致区域内相位信息难以正确提取，从而造成表面重建结果的缺失以及重建精度下降。本文提出了一种基于自动多次曝光的高反表面测量方法，该方法根据物体表面灰度值的强度直方图进行聚类获得多次曝光时间序列。在不同曝光时间下捕获条纹图像后，采用对比度、饱和度、良好曝光度作为融合引导，结合区域掩码策略对不同曝光下的图片进行融合获得融合条纹图像。实验结果表明，本文所提方法的重建结果中点云数量为726?549、均方根误差为0.103，均优于其他对比算法。本文所提方法无需额外硬件辅助，并且能够自动、完整、精确地快速重建高反物体表面三维形貌，为促进工业自动化生产提供了有力工具，同时为材料领域中获取高反射材料的表面形貌提供了有效手段。
Abstract:
When fringe projection profilometry is applied to measure highly reflective surfaces of objects, saturation artifacts occur?in the high-reflectivity regions. This phenomenon hinders accurate phase extraction, resulting in missing reconstruction data and reduced measurement precision. To address this issue，we proposed a measurement method for highly reflective surfaces based on automatic multiple exposures. The method employed intensity histogram clustering of surface grayscale values to generate an optimal multi-exposure time sequence. Specifically, after capturing fringe images under varying exposure durations, contrast, saturation, and exposure quality metrics were utilized as fusion guidance. Combined with a region-based masking strategy, images from different exposures were fused to produce composite fringe patterns. Experimental results demonstrated that the proposed method achieved a point cloud density of 726 549 vertices with a root mean square error of 0.103, both of which are superior to those of other comparative algorithms.?The hardware-free solution enables rapid, complete, and accurate 3D reconstruction of specular surfaces, providing a powerful tool for promoting industrial automated production and offering an effective means for obtaining surface topography of highly reflective materials.

参考文献/References:

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[10] 汪锦航,卢荣胜,刘端茂.高动态范围表面自适应条纹投影测量方法[J].光学学报,2021,41(19):1912001.
[11] WU K, TAN J, XIA H L, et al. An exposure fusion-based structured light approach for the 3D measurement of a specular surface[J]. IEEE Sensors Journal,2021,21(5):6314-6324.
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备注/Memo

备注/Memo:
收稿日期：2025-02-27
基金项目：武汉工程大学研究生教育创新基金（CX2024079，CX2024091)
作者简介：郑明辉，硕士研究生。Email: zmh_630027490@163.com
*通信作者：廖 青，博士，教授。Email: liaoqing@wit.edu.cn
更新日期/Last Update: 2026-03-10