| 王欣峰1， 陈宁2， 郭钢祥2， 陈旭雯3,5， 施浩磊4， 祖洪飞1*.基于改进ICP配准算法的螺纹大小径测量算法研究[J].轻工机械,2025,43(4):57-61 |
| 基于改进ICP配准算法的螺纹大小径测量算法研究 |
| Research on Thread Diameter Measurement Algorithm Based on Improved ICP Registration Algorithm |
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| DOI：10.3969/j.issn.1005 2895.2025.04.008 |
| 中文关键词: 螺纹测量 点云处理 点云配准 迭代最近点 二维螺纹轮廓线参数法 |
| 英文关键词:thread measurement point cloud processing point cloud registration ICP（Iterative Closest Point） two dimensional thread profile parameter method |
| 基金项目:国家市场监督管理总局科技计划（2024MK047）；浙江省市场监督管理局科技计划（ZC2023017）；浙江省市场监督管理局科技计划（ZD2024011）；宁波市“科创甬江2035”科创生态育成计划项目（2024Z062）。 |
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| 中文摘要: |
| 针对常用的二维螺纹轮廓线参数法在实际数据采集（尤其是用非接触测量）时，会存在一定的共面误差问题，课题组提出一种基于迭代最近点（Iterative Closest Point，ICP）原理的螺纹大小径测量算法，以三维空间点云数据作为补充，增添几何约束进行点云配准，从而提升螺纹大、小径测量的精度。实验结果表明：相比于直接使用二维螺纹轮廓线参数法测量，该算法对螺纹大、小径测量精度提升达到30％以上。 |
| 英文摘要: |
| The research group proposed a thread diameter measurement algorithm based on the Iterative Closest Point (ICP) algorithm to address the coplanar error during the data acquisition process (especially in non contact measurement) aiming at the problem that the commonly employed two dimensional thread profile parameter method. This algorithm utilized three dimensional spatial point cloud data as supplementary information and added geometric constraints to perform point cloud registration, thereby improving the accuracy of thread large and small diameter measurement. Experimental results indicate that compared to directly using two dimensional thread profile parameter method, this algorithm improves the accuracy of measuring the large and small diameters of the thread by more than 30%. |
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