文章摘要
基于计算机视觉的轮胎断面高效建模方法研究
Rearch on Efficient Modeling Method of Tire Section Based on Computer Vision
投稿时间：2024-02-02  修订日期：2024-02-02
DOI：10.12136/j.issn.1000-890X.2025.09.0657
中文关键词: 轮胎断面  高效建模  计算机视觉  AutoCAD软件二次开发技术
英文关键词: tire cross section  efficient modeling  computer vision  secondary development technology of AutoCAD software
基金项目:山东省重点研发计划(公益类专项)(2019GGX101020). 曹金凤(1978—), 女, 博士, 副教授, 硕士生导师, 主要研究方向为计算机视觉、深度学习算法、有限元分析及二次开发等; 程家幸(1993—), 男, 博士, 讲师, 硕士生导师
作者单位E-mail
曹金凤 青岛理工大学机械与汽车工程学院 青岛 caojinfeng@qut.edu.cn 
刘禧龙 青岛理工大学机械与汽车工程学院 青岛  
陈玄奕 扬州大学机械工程学院 扬州  
彭 博 青岛理工大学机械与汽车工程学院 青岛  
刘文杰 青岛理工大学机械与汽车工程学院 青岛  
程家幸* 扬州大学机械工程学院 扬州 Jiaxing@yzu.edu.cn 
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中文摘要:
      提出综合计算机视觉（CV）技术和基于Python语言的AutoCAD软件二次开发技术的轮胎断面高效建模方法（简称CV-CAD-Python方法），搭建了轮胎断面拍摄平台，建立了轮胎断面自动化建模规范流程：首先通过图像采集系统获取轮胎断面图像，采用图像预处理和图像增强技术突出边缘特征；然后选用Canny算子获取轮胎断面边缘特征的像素点坐标；最后采用基于Python语言的AutoCAD软件二次开发技术，每间隔3个像素点进行样条曲线连线，实现了复杂轮胎断面自动化高效建模。本方法可以将轮胎断面建模时间由数小时缩短至1 min，可推广应用于多个领域。
英文摘要:
      A efficient modeling method of the tire section that integrated computer vision（CV） technology and secondary development technology of AutoCAD software based on Python language was proposed，which was referred to as CV-CAD-Python method.A photography platform of the tire section was built，and a standardized process for the automation modeling of the tire section was established.Firstly，the section image of the tire section was obtained through an image acquisition system，and image preprocessing and enhancement techniques were used to highlight edge features.Then，the Canny operator was used to obtain the pixel coordinates of the edge features.Finally，using secondary development technology of AutoCAD software based on Python language，the spline curve connections were made every 3 pixels to achieve automated and efficient modeling of complex tire section.This method could shorten modeling time of the tire section from several hours to 1 minute，and could be widely applied in multiple fields.
Author NameAffiliationE-mail
CAO Jinfeng School of Mechanical and Automotive Engineering,Qingdao University of Technology caojinfeng@qut.edu.cn 
LIU Xilong School of Mechanical and Automotive Engineering,Qingdao University of Technology  
CHEN Xuanyi School of Mechanical Engineering,Yangzhou University  
PENG Bo School of Mechanical and Automotive Engineering,Qingdao University of Technology  
LIU Wenjie School of Mechanical and Automotive Engineering,Qingdao University of Technology  
CHENG Jiaxing School of Mechanical Engineering,Yangzhou University Jiaxing@yzu.edu.cn 
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