作者：杨以铁, 郭天太, 孔明

作者单位：中国计量大学计量测试工程学院, 浙江 杭州 310018

关键词：三维测量;多线结构光;图像处理;深度计算

摘要：

针对在工业生产中，需要对各种体积大小的堆积物进行测量，以判断生产计划的执行程度或库存量的问题，该文提出利用基于多线结构光的堆积物三维测量方法，在传送带上通过累加测量小堆积物体积，实现大型堆积物体积快速测定。该方法具体实现步骤是使用一条装有25条平行激光器的移动滑台水平匀速运动，摄像机拍摄带有待测物体表面深度信息的畸变光条，利用OPENCV对图像进行处理，通过Steger光条中心提取算法和改进的深度计算公式，对采集到的图像进行深度计算，分别计算出各个光条像素点的空间坐标，得到点云数据并进行重构分析。实验结果表明，该方法的检测相对误差为2%以内，可实现堆积物的体积三维非接触式动态实时测量。

Three-dimensional measurement method of deposit based on multi-line structured light
YANG Yitie, GUO Tiantai, KONG Ming
College of Metrology & Measurement Engineering, China Jiliang University, Hangzhou 310018, China
Abstract: In the case of industrial production, it is necessary to measure the bulk of various sizes to determine the degree of execution of the production plan or the amount of inventory goods. This paper proposes a three-dimensional measurement method based on multi-line structured light. Accumulation of small deposits on the conveyor belt allows for rapid measurement of deposits on the conveyor belt. The specific implementation step of the method is to use a moving slide with 25 parallel lasers to move horizontally at a uniform speed, and the camera takes a distorted light strip with the surface depth information of the object to be tested, and processes the image with OPENCV, and extracts it through the Steger strip center. The algorithm and the improved depth calculation formula are used to calculate the depth of the acquired image, calculate the spatial coordinates of each light strip pixel, obtain the point cloud data and perform reconstruction analysis. The experimental results show that the relative error of the method is within 2%, which can realize the three-dimensional non-contact dynamic real-time measurement of the volume of the deposit.
Keywords: 3D measurement;multi-line structured light;image processing;depth calculation
2019, 45(11):35-39  收稿日期: 2018-05-08;收到修改稿日期: 2018-07-30
基金项目: 国家自然科学基金（51476154，51404223）；浙江省自然科学基金（YL13E060006，LQ14E060003）
作者简介: 杨以铁(1993-),男,浙江杭州市人,硕士研究生,专业方向为仪器仪表工程
参考文献
[1] 贾文志. 三维立体图生成法在煤堆测量工作中的应用分析[J]. 煤炭与化工, 2016, 39(1):112-114
[2] 杨忞婧, 刘丽, 张金兰, 等. 三维激光扫描技术在曲面模型重建中的应用[J]. 测绘与空间地理信息, 2016, 39(8):158-159
[3] 石磊. 适用于快速三维形貌测量的结构光三维测量系统研究[D]. 杭州:浙江大学, 2017.
[4] LILIENBLUM E, ALHAMADI A. A Structured Light Approach for 3-D Surface Reconstruction With a Stereo Line-Scan System[C]//Instrumentation & Measurement Technology Conference. IEEE, 2015.
[5] LIN H B, SONG Z. 3D reconstruction of specular surface via a novel structured light approach[C]//IEEE International Conference on Information & Automation. IEEE, 2015.
[6] 王洋. 多线结构光深度图像获取及其图像处理的研究[D]. 哈尔滨:哈尔滨理工大学, 2005.
[7] WANG Z Z, YANG Y M. Single-shot three-dimensional reconstruction based on structured light line pattern[J]. Optics & Lasers in Engineering, 2018, 106:10-16
[8] ZHANG T, YANG Z, SONG J. RGB-D Saliency Detection with Multi-feature-fused Optimization[J]. LNCS, 2017, 10668:15-26
[9] 揭平良, 吕文阁, 谢庆华, 等. 面向重建的结构光中心快速提取方法[J]. 机电工程技术, 2014, 43(5):61-64
[10] 南方, 李大华, 高强, 等. 改进Steger算法的自适应光条纹中心提取[J]. 激光杂志, 2018(1):85-88
[11] 王巧妮, 杨远洪. 基于Steger图像算法的光纤布拉格光栅寻峰技术[J]. 光学学报, 2014, 34(8):125-130
[12] 冯萍, 刘震. 舵面角度测量中结构光光条图像自动定位方法[J]. 中国光学, 2014, 7(6):911-916
[13] 邓仕超, 黄寅. 二值图像膨胀腐蚀的快速算法[J]. 计算机工程与应用, 2017, 53(5):207-211
[14] 曹雪梅, 桑新柱, 陈志东, 等. 基于二维彩色图像和深度图的复杂三维场景的计算全息图[J]. 中国激光, 2014, 41(6):187-191