Image-based bolt-loosening detection using an improved homography-based perspective rectification method

被引:0
|
作者
Jun Luo
Jie Zhao
ChengQian Xie
Yi Sun
Xinpeng Liu
Zhitao Yan
机构
[1] Chongqing University of Science and Technology,School of Civil Engineering and Architecture
[2] Chongqing Key Laboratory of Energy Engineering Mechanics and Disaster Prevention and Mitigation,School of Civil Engineering
[3] Chongqing University,undefined
关键词
Flange joint; Bolt-loosening detection; Vision-based technique; Nut edge detection; Perspective rectification method;
D O I
暂无
中图分类号
学科分类号
摘要
In this paper, a new perspective rectification method for image of bolts in flange joint is proposed and the image-based bolt-loosening detection process for the flange joint is established. The presented method can correct the perspective distortion for the picture using the four center points of corner bolts in bolt-group connection. However, it would be difficult to find the four known points when the picture comes from a flange joint, because of the occlusion of component and the definition of picture. In this paper, a new homography-based perspective rectification method is proposed to correct the perspective distortion for image of each nut based on the identified corners of the gasket. The method to determine the corners of the partially obscured gasket is also a novelty of this paper. Based on the proposed perspective rectification method, the image-based bolt-loosening detection process for the flange joint is proposed. The proposed method is verified using a bolt connection in laboratory. The results show that the proposed method can effectively correct the perspective distortion for image of each nut and identify the bolt-loosening of the flange joint.
引用
收藏
页码:513 / 526
页数:13
相关论文
共 50 条
  • [31] Image Registration-Based Bolt Loosening Detection of Steel Joints
    Kong, Xiangxiong
    Li, Jian
    SENSORS, 2018, 18 (04)
  • [32] Homography-based ground plane detection using a single on-board camera
    Arrospide, J.
    Salgado, L.
    Nieto, M.
    Mohedano, R.
    IET INTELLIGENT TRANSPORT SYSTEMS, 2010, 4 (02) : 149 - 160
  • [33] A novel second-order output spectrum based local tuning method for locating bolt-loosening faults
    Li, Quankun
    Jing, Xingjian
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2021, 147
  • [34] Homography-based Image Mosaicing by Using EM Algorithm for Removing Inconsistent Overlaid Regions
    Iyoshi, Takeaki
    Mitsuhashi, Wataru
    2008 PROCEEDINGS OF SICE ANNUAL CONFERENCE, VOLS 1-7, 2008, : 541 - 546
  • [35] Locating Bolt-Loosening Faults in Structures Using a Novel Second-Order Output Spectrum based Method with a Local Tuning Approach
    Li, Quankun
    Jing, Xingjian
    2019 12TH ASIAN CONTROL CONFERENCE (ASCC), 2019, : 1483 - 1488
  • [36] Image-Based Visual Servoing of Quad rotor using Homography Reconstruction
    Zheng, Shuo
    Wu, Huai-Ning
    Liu, Zhou-Yang
    PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC), 2019, : 4089 - 4094
  • [37] Homography-based displacement correction of UAV using four laser points and template method
    Wang, Sirui
    Zhai, Guohua
    Li, Yang
    Jiang, Jian
    Measurement: Journal of the International Measurement Confederation, 2025, 243
  • [38] Metric sensing and control of a quadrotor using a homography-based visual inertial fusion method
    Li, Ping
    Garratt, Matthew
    Lambert, Andrew
    Lin, Shanggang
    ROBOTICS AND AUTONOMOUS SYSTEMS, 2016, 76 : 1 - 14
  • [39] Homography-Based Ground Plane Detection for Mobile Robot Navigation Using a Modified EM Algorithm
    Conrad, D.
    DeSouza, G. N.
    2010 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2010, : 910 - 915
  • [40] Bolt-Loosening Detection Using 1D and 2D Input Data Based on Two-Stream Convolutional Neural Networks
    Hou, Xiaoli
    Guo, Weichao
    Ren, Shengjie
    Li, Yan
    Si, Yue
    Su, Lizheng
    MATERIALS, 2022, 15 (19)