山东科学2024，Vol.37Issue(2)：65-73,9.DOI:10.3976/j.issn.1002-4026.20230133
复杂背景下的结构光条纹中心提取算法研究
Centerline extraction algorithm of structured light streak in a complex background
摘要
Abstract
The most critical step in a line-structured light three-dimensional scan modeling system is to extract the centerline of the light stripe,but the interference of various environmental factors makes this extraction difficult.Several problems exists in a line-structured light streak image issues such as light spot interference,uneven distribution of light intensity,large differences in the width of the light bars,and complex background.This paper proposed a solution to overcome these problems.First,the structured light image is binarized using the Otsu method.Then,the improved density-based spatial clustering of applications with nose(DBSCAN)algorithm is used to retain the core points and remove the boundary and noise points.Finally,the core points are used as inputs to construct the graph data structure,and the shortest path search algorithm that fits the line-structured light streak image is used to obtain the center-line of the light streak.The experimental results show that the algorithm of this paper runs within 150 ms and the error is within 0.2 pixels.Moreover,this algorithm is applicable to various complex environments,meeting the requirements of real-time calculations,accuracy,and stability.关键词
复杂背景/线结构光/中心线提取/DBSCAN算法/最短路径Key words
complex background/line-structured light/centerline extraction/DBSCAN algorithm/shortest path分类
电子信息工程引用本文复制引用
高秋玲,成巍,李文龙,戈海龙,侯兴强,宋汝晖,魏佳洁,贾天烁,蔡馨燕..复杂背景下的结构光条纹中心提取算法研究[J].山东科学,2024,37(2):65-73,9.基金项目
山东省重大科技创新工程(2022CXGC020205) （2022CXGC020205）
齐鲁工业大学(山东省科学院)—威海市产学研协同创新基金项目(2022CXY-05) （山东省科学院）
山东省科技型中小企业能力提升项目(2023TSGC0357) （2023TSGC0357）
