Research on the size of ring forgings based on image detection and point cloud data matching method

被引:0
|
作者
Xianbin Fu
Yucun Zhang
Wenwen Zhang
Qun Li
Tao Kong
机构
[1] Hebei University of Environmental Engineering,School of Electrical Engineering
[2] Yanshan University,School of Mechanical Engineering
[3] Yanshan University,undefined
来源
The International Journal of Advanced Manufacturing Technology | 2022年 / 119卷
关键词
Laser scanner; CCD camera; Ring forgings; Radius matching; Outer dimensions;
D O I
暂无
中图分类号
学科分类号
摘要
The outer dimensions and 3D model of ring forgings in industrial production are the important parameters to ensure the quality of the products. In order to realize the measurement of the outer dimensions and 3D model of the ring forgings, a measuring method for the ring forgings combining with a CCD camera and a 2D laser scanner is proposed in this paper. Firstly, the image information of the ring forgings is obtained by the CCD camera. The radiuses of different sections for ring forgings are acquired by pixel calibration and edge detection. Secondly, the point cloud data of different sections are obtained by laser scanner with the movement of the transmission mechanism. Then, the position discrimination method of straight line fitting is used to reduce the error data. And the radius matching method is used in the further processing of the point cloud data based on image detection, and the point cloud data with high accuracy is further extracted. Finally, the 3D point cloud data and 3D model of the ring forgings are obtained by rotating the 2D point cloud data. The outer dimensions of forgings are derived from the 3D model. The experiments were carried out with two different ring forgings. According to the experimental results, the feasibility of the method proposed in this paper is verified.
引用
收藏
页码:1725 / 1735
页数:10
相关论文
共 50 条
  • [21] Research on Laser Measurement Point Cloud Data Compensation and Pose Matching
    Wang Kang
    Lu Yanming
    Yuan Fei
    Liu Dongshuai
    Yang Hua
    LASER & OPTOELECTRONICS PROGRESS, 2020, 57 (06)
  • [22] A kind of image matching method based on feature point
    Ji, XP
    Xie, KM
    ISTM/2003: 5TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-6, CONFERENCE PROCEEDINGS, 2003, : 984 - 986
  • [23] Automatic Detection Method of Pavement Deformation Distress Based on Point Cloud Data
    Pan, Ning
    Du, Yuchuan
    Yue, Jinsong
    Wei, Siyu
    Liu, Chenglong
    Wu, Difei
    Tongji Daxue Xuebao/Journal of Tongji University, 2022, 50 (03): : 399 - 408
  • [24] Image matching method based on corner detection
    Gao, Jing
    Wu, Yufeng
    Wu, Kun
    Sun, Jiyin
    Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, 2013, 34 (08): : 1717 - 1725
  • [25] Research on Image Data Matching Method Based on Infrared Spectrum Technology of UAV
    Tan Xiang
    Mao Hai-ying
    Zhi Xiao-dong
    Hu Xing-bang
    Ma Ai-nai
    Yan Lei
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38 (02) : 413 - 417
  • [26] Matching method of point cloud models based on auxiliary device
    Zhang, Xu
    Zhang, Ran
    Zhang, Xue-Chang
    Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2014, 20 (05): : 1029 - 1034
  • [27] A BUILDING CHANGE DETECTION METHOD BASED ON A SINGLE ALS POINT CLOUD AND A HRS IMAGE
    Yang, Z.
    Chai, J. X.
    Zhang, Y. S.
    Mei, S. H.
    XXIV ISPRS CONGRESS IMAGING TODAY, FORESEEING TOMORROW, COMMISSION II, 2022, 43-B2 : 315 - 320
  • [28] Method for extracting UAV RGB image information based on matching point cloud and HSI color component
    Yang X.
    Zhu D.
    Yang R.
    Zuo X.
    Xie W.
    Fu Z.
    Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2021, 37 (22): : 295 - 301
  • [29] A Cloud Motion Estimation Method Based on Cloud Image Depth Feature Matching
    Zou, Lianglin
    Tang, Ping
    Niu, Yisen
    Yan, Zixuan
    Lin, Xilong
    Song, Jifeng
    Wang, Qian
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2025, 22
  • [30] Fusion Method of LiDAR Point Cloud and Dense Matching Point Cloud
    Yan Li
    Ren Dawei
    Xie Hong
    Wei Pengcheng
    CHINESE JOURNAL OF LASERS-ZHONGGUO JIGUANG, 2022, 49 (09):