光学精密工程2024，Vol.32Issue(19)：2957-2970,14.DOI:10.37188/OPE.20243219.2957
基于CT图像的回转点云分割及逆向重建
Rotating point cloud segmentation and reverse reconstruction based on computed tomography images
摘要
Abstract
Computed tomography is a crucial non-destructive testing technique for acquiring point cloud da-ta and reverse reconstructing workpieces with complex internal structures.Point cloud segmentation is vi-tal in reverse engineering,as its accuracy affects the quality of the reconstructed model.To address re-verse reconstruction needs,this paper introduces a slice segmentation method based on the principal axis for part segmentation,involving two stages:coarse and fine segmentation.Initially,parallel equidistant point cloud slices are generated along the principal axis,classified by calculating slice features.Similar slic-es are then merged and clustered for coarse segmentation results.These results serve as input for the fine segmentation stage,where sub point cloud features are calculated and classified.The sub point clouds are verified,merged,and under-segmented to achieve the final segmentation result.Subsequently,a geome-try-topology tree structure is proposed for fast,accurate model reconstruction,representing the model un-ambiguously.The experimental results demonstrate that the proposed method achieves effective segmenta-tion and high applicability,with an average IoU of 0.879 7.Additionally,the model reconstructed using a geometric-topological tree fully retains the object's main structural information,which is highly valuable for practical engineering applications.关键词
计算机断层成像/三维点云/部件分割/逆向重建Key words
computed tomography/3D point cloud/part segmentation/reverse reconstruction分类
计算机与自动化引用本文复制引用
韦会鸿,邹永宁,秦倩,王俊瑶..基于CT图像的回转点云分割及逆向重建[J].光学精密工程,2024,32(19):2957-2970,14.基金项目
国家重点研发资助计划资助项目(No.2022YFF0706400) （No.2022YFF0706400）
