光学精密工程2025，Vol.33Issue(17)：2691-2703,13.DOI:10.37188/OPE.20253317.2691
大跨度高精度光斑质心提取
High-precision extraction of adaptive spot centroid in large span
摘要
Abstract
An adaptive spot-centroid extraction method is proposed to address low extraction accuracy and insufficient real-time performance in cooperative-target feature-point imaging for large-span dynamic mea-surement,problems that arise from pronounced size variation and edge jitter.Exploiting the motion coher-ence of cooperative targets,a dynamic ROI feature-parameter model is first established to enable rapid and accurate ROI localization via interframe motion prediction,thereby substantially reducing the data volume for subsequent processing.Canny edge-detection parameters are then adaptively adjusted using an Otsu-based threshold optimization strategy,which improves noise suppression across varying measurement dis-tances while enhancing computational efficiency.Sub-pixel edge localization is refined by combining a multi-directional Sobel operator with Zernike moments enhanced by an intensity ramp,and centroid coordi-nates are obtained via a robust least-squares circle fitting method improved through Gauss-Newton itera-tion.Validation on simulated image datasets and experimental measurements demonstrates that,for small-scale spots with simulated edge blur,the centroid positioning error of the proposed method ranges from 0.001 to 0.025 pixels under different noise levels.In practical tests,the ROI prediction algorithm satisfies measurement scenarios with accelerations up to 8.75 m/s2,and the repeatability error of spot positioning at measurement distances of 10-30 m remains stable between 0.016 and 0.040 pixels,outperforming con-ventional methods.Meanwhile,spot-extraction speed is increased by approximately 75.5%,markedly im-proving real-time processing capability.The proposed approach offers effective technical support for coop-erative-target measurement applications.关键词
合作靶标检测/自适应光斑质心提取/帧间运动预测/改进的Sobel-Zernike矩Key words
cooperative target detection/adaptive spot centroid extraction/inter-frame motion predic-tion/improved Sobel-Zernike moment分类
机械工程引用本文复制引用
高豆豆,韩奕璇,董登峰,王博,邱启帆,崔成君..大跨度高精度光斑质心提取[J].光学精密工程,2025,33(17):2691-2703,13.基金项目
国家重点研发计划资助项目(No.2022YFB3403800) （No.2022YFB3403800）
