广东工业大学学报2026，Vol.43Issue(3)：64-72,9.DOI:10.12052/gdutxb.250063
基于多尺度邻域搜索的含噪激光光斑检测
Detection of Noisy Laser Spot Based on Multi-scale Neighborhood Search
摘要
Abstract
Laser has been widely used in various areas such as advanced manufacturing and modern healthcare,and played a critical role for accurate detection of laser spot.Considering that the detection is difficult as it is often interfered by the noise light from the background,we propose a new method based on multi-scale neighborhood search(MNS)for laser spot detection in this study.Firstly,a multi-scale difference space for laser spot is constructed,and within this space,a neighborhood search method is designed for estimating the spot center with maximum response.Technically,the extremum point with the maximum response value is searched by comparing neighboring points within a multi-scale space,and the center of the spot is estimated by fitting the local grayscale surface in the image.Then,the region of interest for the spot is extracted,and the directions of the long axis and the short axis are determined by accumulating gradient magnitudes within the region.Also,the length of each axis is obtained by using the second-moment method.The effective performance of the proposed method is verified through simulation experiments,significantly improving the accuracy of spot detection in noisy environments.Meanwhile,the detection errors are consistently low in different noise environments.In particular,under uniform light backgrounds,the average detection accuracy improved by at least 30%compared to the existing methods in the market.Even with natural backlight close to 20%of the peak intensity,the parameter detection errors for laser spot remain below 1%.The results indicate that our method maintains strong robustness in detecting laser spots under various lighting conditions,providing a feasible detection method for laser spots in complex environments.关键词
激光光斑/多尺度空间/邻域搜索/噪声背景/累积梯度Key words
laser spot/multi-scale space/neighborhood search/noise background/accumulated gradient分类
信息技术与安全科学引用本文复制引用
杨嘉俊,朱正东,杨祖元..基于多尺度邻域搜索的含噪激光光斑检测[J].广东工业大学学报,2026,43(3):64-72,9.基金项目
国家自然科学基金资助项目(62273106) （62273106）
广东省基础与应用基础研究基金资助面上项目(2022A1515010688) （2022A1515010688）
