基于自适应基元的导管测量方法

doi:10.3901/JME.2021.22.071

机械工程学报 ›› 2021, Vol. 57 ›› Issue (22): 71-79.doi: 10.3901/JME.2021.22.071

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基于自适应基元的导管测量方法

刘检华, 黄浩, 金鹏, 刘少丽

北京理工大学机械与车辆学院北京 100081

收稿日期:2021-02-02 修回日期:2021-06-05 出版日期:2021-11-20 发布日期:2022-02-28
通讯作者: 金鹏(通信作者),男,1987年出生,博士。主要研究方向为物体三维重建技术。E-mail:kingpeng604@163.com
作者简介:刘检华,男,1977年出生,博士,教授,博士研究生导师。主要研究方向为产品装配与检测技术。E-mail:jeffliu@bit.edu.cn
基金资助:
国家自然科学基金资助项目（51935003）。

Tube Measurement Method Based on Adaptive Primitives

LIU Jianhua, HUANG Hao, JIN Peng, LIU Shaoli

School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081

Received:2021-02-02 Revised:2021-06-05 Online:2021-11-20 Published:2022-02-28

摘要/Abstract

摘要： 导管广泛应用于汽车、船舶、航天等领域中，测量加工后导管的空间形态是保证其制造精度和装配可靠性的重要手段。目前，工程中常用的测量方法过于依靠人为操作；近年来兴起的基于计算机视觉的测量方法无法兼顾导管直线段和圆弧段的高效、精确测量。基于自适应基元导管测量方法的提出，旨在解决导管测量的难题。根据导管的形状特点，将圆柱体作为几何基元，与图像中导管的轮廓匹配对导管初始化重建，并识别直线段和圆弧段；针对圆弧段的测量，用不同长度的基元测量不同弯曲半径的圆弧段，获得相应的测量精度，以此作为训练数据，利用支持向量机（Support vector machine，SVM）建立基元参数预测模型。根据圆弧段不同的弯曲半径，在满足测量精度的前提下，预测长度最长的基元，保证导管直线段和圆弧段的高效、精确测量。

关键词: 导管, 自适应基元, 视觉测量, 支持向量机

Abstract: Tubes are widely used in automobile, ship, aerospace and other fields. It is an important means to measure the spatial shape of the processed tube to ensure its manufacturing accuracy and assembly reliability. At present, the measurement methods commonly used in engineering rely too much on human operation; In recent years, the computer vision based measurement methods cannot take into account the efficient and accurate measurement of the straight and arc segments of the tube. The proposed tube measurement method based on adaptive primitives aims to solve the difficult problem of tube measurement. According to the shape characteristics of the tube, the cylinder is used as the geometric element to initialize and reconstruct the tube by matching the contour of the tube in the image, and the straight and arc segments are identified. The arc segments with different bending radii are measured with different lengths of the primitive to promise the corresponding measurement accuracy. Based on the training data, the support vector machine (SVM) is used to establish the primitive parameter prediction model. According to the different bending radii of the arc segments, on the premise of satisfying the measurement accuracy, the longest primitives can be predicted to ensure the efficient and accurate measurement of the straight and arc segments of the tube.

Key words: tube, adaptive primitive, photogrammetry, support vector machine

中图分类号:

TP23

刘检华, 黄浩, 金鹏, 刘少丽. 基于自适应基元的导管测量方法[J]. 机械工程学报, 2021, 57(22): 71-79.

LIU Jianhua, HUANG Hao, JIN Peng, LIU Shaoli. Tube Measurement Method Based on Adaptive Primitives[J]. Journal of Mechanical Engineering, 2021, 57(22): 71-79.

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基于自适应基元的导管测量方法

Tube Measurement Method Based on Adaptive Primitives

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