Industrial composite fiber has been widely used in the high-end manufacturing because of its superior stiffness and strength. To ensure the quality of composite fiber placement in making high-end and lightweight aerospace products, it needs reliable composite fiber layup in-situ inspection. An accurate seam width measurement is an indispensable procedure during the layup inspection. However, the traditional seam measurements may fail in presence of surface curvature variance, curved edges between sheets, to name a few. This paper intentionally designs a novel 3D vision based Seam Width Measurement for Industrial Composite Fiber Layup In-situ Inspection (called 3D-SWiM). It aims to address three major challenges in measuring the seam width between the composite fiber sheets, namely, seam region over-segmentation, failures on region of interests (ROI) seam detection, seam width measurement inconsistency. Firstly, the region growing with semantic refinement is designed for 3D point cloud clustering, to overcome over-segmentation on seam regions. Afterwards, the gridding model with edge discrimination is applied to extract the 3D potential candidates in the edge areas. Eventually, we use the cubic B-spline fitting model to describe the seam region curves and the improved particle swarm optimization model to estimate the minimum and maximum distance between the seam edges. 3D-SWiM has been evaluated extensively on the developed composite fiber layup platform. The comparisons with the state-of-the-art methods (such as HT and GFM) on the region-of-interest segmentation, seam extraction and seam width measurement have been performed and the experimental results prove the competitive performance in composite fiber layup in-situ inspections.

工业复合纤维以其优越的刚度和强度被广泛应用于高端制造业。为确保制造高端轻量化航空航天产品的复合纤维铺放质量，需要可靠的复合纤维铺放现场检测。准确的接缝宽度测量是叠层检查过程中必不可少的步骤。然而，传统的接缝测量可能会在存在表面曲率变化、板材之间的弯曲边缘等情况下失败，仅举几例。本文有意设计了一种新颖的基于 3D 视觉的用于工业复合纤维铺层原位检测的接缝宽度测量（称为 3D-SWiM）。它旨在解决测量复合纤维板之间接缝宽度的三大挑战，即接缝区域过度分割，感兴趣区域 (ROI) 接缝检测失败、接缝宽度测量不一致。首先，随着语义细化而增长的区域被设计用于 3D 点云聚类，以克服接缝区域的过度分割。然后，应用具有边缘辨别力的网格化模型来提取边缘区域中的 3D 潜在候选对象。最终，我们使用三次 B 样条拟合模型来描述接缝区域曲线，并使用改进的粒子群优化模型来估计接缝边缘之间的最小和最大距离。3D-SWiM 已在开发的复合纤维铺层平台上进行了广泛评估。在感兴趣区域分割上与最先进的方法（如 HT 和 GFM）的比较，