南京航空航天大学学报（英文版）2020，Vol.37Issue(4)：586-596,11.
线性结构光条纹自适应中心提取的鲁棒方法
A Robust Method for Adaptive Center Extraction of Linear Structured Light Stripe
摘要
Abstract
In the non?contact measurement using the linear structured light(LSL),the extraction precision of the light stripe center directly affects the measurement accuracy of the whole detection system. To solve the problem that general algorithms cannot accurately extract the center of the light stripe with the uneven width and unstable grey?value distribution,an adaptive optimization method is proposed. In this method,the stripe region is firstly segmented, and the widths of the laser stripe are calculated by boundary detection. The initial stripe center points are computed by the quadratic weighted grayscale centroid method based on the self?adaptive stripe width. After that,these center points are optimized according to the determined slope threshold. The sub?pixel coordinates of these center points are recalculated. Detailed analysis is also performed in line with the proposed evaluation index of the extraction algorithm. The experimental results show that the mean square error of extracted center points is only 0.1 pixel,meaning that the accuracy of laser stripe center extraction is improved significantly by the method. Furthermore,the method can run effectively at a relatively low computational time cost,and can demonstrate great robustness as well.关键词
激光条纹/图像处理/中心提取/自适应/评价指标Key words
laser stripe/image processing/center extraction/self‑adaptive/evaluation index分类
信息技术与安全科学引用本文复制引用
陆永华,张佳,李小焰,李雁龙,谭杰..线性结构光条纹自适应中心提取的鲁棒方法[J].南京航空航天大学学报（英文版）,2020,37(4):586-596,11.基金项目
This work was supported by the Na?tional Natural Science Foundation of China(No. 51975293) and the Aeronautical Science Foundation of China (No. 2019ZD052010). （No. 51975293）
