Journal of Electrical and Electronic Engineering

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Design and Implementation of Measurement System of Mechanical Parts with Multihole Based on Machine Vision

Received: 9 August 2018    Accepted:     Published: 13 August 2018
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Abstract

The efficiency of the measurement of mechanical parts with multihole is needed to be improved in the information era, while the size measurement of mechanical parts relying mainly on manual detection currently with very low efficiency. To meet the repuiremant of equipment manufacturing automation, the efficiency of the measurement of mechanical parts should match the speed of the line. As a new technology to solve the measurement problem of the objects with irregular shape (such as multihole), machine vision provide a more effective way. To build a measurement system of mechanical parts with multihole, there are many relevant aspects to be considered, such as the choices of hardware, software development, algorithm design, ect. Image processing is one of the most important steps to build a successful visual system, which usually consists of image preprocessing, image segmentation, feature extraction and defect classification. The design and implementation of measurement system of mechanical parts with multihole based on machine vision will be discussed in this paper. The experiment results show that the improved algorithm can effectively filter the noise of surface images, which make the outline of the hole can be tested out easier. The system in this paper not only ensures the measurement precision of the pore diameter of the workpiece, but also realizes the measurement of the pore diameter of the workpiece at the same time.

DOI 10.11648/j.jeee.20180602.15
Published in Journal of Electrical and Electronic Engineering (Volume 6, Issue 2, April 2018)
Page(s) 65-70
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Machine Vision, Mechanical Parts, Size Measurement

References
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[3] Zhang Tian, Tang Chengtong, Liu Zhenhua. Measurement method of elbow space parameters based on multi-ocular vision [J]. Journal of instrumentation, 2013, 34 (2): 260-266.
[4] Wang Zhongfei, Lin Maosong, Peng Yong, etc. Microchip thickness detection based on machine vision [J]. Computer measurement and control, 2013, 21 (1): 36-38.
[5] Marco San Biagio, Carlos Beltrán-González, Salvatore Giunta, Alessio Del Bue, Vittorio Murino. Automatic inspection of aeronautic components [J]. Machine Vision and Applications. August 2017, Volume 28, Issue 5–6, pp 591–605.
[6] Luo Shiguang. Machine vision based inspection method for glass bottle mouth defects [J]. Packaging engineering, 2018, 39 (3):183-187
[7] Dan Zhongde, Zhang Fei. Research on on-line measurement technology of brinell hardness of machine vision casting [J]. Journal of mechanical engineering, 2017, 53 (1): 157-164.
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  • APA Style

    Chen Qiyu, Wang Yu, Wu Zhiheng, Tong Jigang, Mo Juexian. (2018). Design and Implementation of Measurement System of Mechanical Parts with Multihole Based on Machine Vision. Journal of Electrical and Electronic Engineering, 6(2), 65-70. https://doi.org/10.11648/j.jeee.20180602.15

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    ACS Style

    Chen Qiyu; Wang Yu; Wu Zhiheng; Tong Jigang; Mo Juexian. Design and Implementation of Measurement System of Mechanical Parts with Multihole Based on Machine Vision. J. Electr. Electron. Eng. 2018, 6(2), 65-70. doi: 10.11648/j.jeee.20180602.15

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    AMA Style

    Chen Qiyu, Wang Yu, Wu Zhiheng, Tong Jigang, Mo Juexian. Design and Implementation of Measurement System of Mechanical Parts with Multihole Based on Machine Vision. J Electr Electron Eng. 2018;6(2):65-70. doi: 10.11648/j.jeee.20180602.15

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  • @article{10.11648/j.jeee.20180602.15,
      author = {Chen Qiyu and Wang Yu and Wu Zhiheng and Tong Jigang and Mo Juexian},
      title = {Design and Implementation of Measurement System of Mechanical Parts with Multihole Based on Machine Vision},
      journal = {Journal of Electrical and Electronic Engineering},
      volume = {6},
      number = {2},
      pages = {65-70},
      doi = {10.11648/j.jeee.20180602.15},
      url = {https://doi.org/10.11648/j.jeee.20180602.15},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jeee.20180602.15},
      abstract = {The efficiency of the measurement of mechanical parts with multihole is needed to be improved in the information era, while the size measurement of mechanical parts relying mainly on manual detection currently with very low efficiency. To meet the repuiremant of equipment manufacturing automation, the efficiency of the measurement of mechanical parts should match the speed of the line. As a new technology to solve the measurement problem of the objects with irregular shape (such as multihole), machine vision provide a more effective way. To build a measurement system of mechanical parts with multihole, there are many relevant aspects to be considered, such as the choices of hardware, software development, algorithm design, ect. Image processing is one of the most important steps to build a successful visual system, which usually consists of image preprocessing, image segmentation, feature extraction and defect classification. The design and implementation of measurement system of mechanical parts with multihole based on machine vision will be discussed in this paper. The experiment results show that the improved algorithm can effectively filter the noise of surface images, which make the outline of the hole can be tested out easier. The system in this paper not only ensures the measurement precision of the pore diameter of the workpiece, but also realizes the measurement of the pore diameter of the workpiece at the same time.},
     year = {2018}
    }
    

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  • TY  - JOUR
    T1  - Design and Implementation of Measurement System of Mechanical Parts with Multihole Based on Machine Vision
    AU  - Chen Qiyu
    AU  - Wang Yu
    AU  - Wu Zhiheng
    AU  - Tong Jigang
    AU  - Mo Juexian
    Y1  - 2018/08/13
    PY  - 2018
    N1  - https://doi.org/10.11648/j.jeee.20180602.15
    DO  - 10.11648/j.jeee.20180602.15
    T2  - Journal of Electrical and Electronic Engineering
    JF  - Journal of Electrical and Electronic Engineering
    JO  - Journal of Electrical and Electronic Engineering
    SP  - 65
    EP  - 70
    PB  - Science Publishing Group
    SN  - 2329-1605
    UR  - https://doi.org/10.11648/j.jeee.20180602.15
    AB  - The efficiency of the measurement of mechanical parts with multihole is needed to be improved in the information era, while the size measurement of mechanical parts relying mainly on manual detection currently with very low efficiency. To meet the repuiremant of equipment manufacturing automation, the efficiency of the measurement of mechanical parts should match the speed of the line. As a new technology to solve the measurement problem of the objects with irregular shape (such as multihole), machine vision provide a more effective way. To build a measurement system of mechanical parts with multihole, there are many relevant aspects to be considered, such as the choices of hardware, software development, algorithm design, ect. Image processing is one of the most important steps to build a successful visual system, which usually consists of image preprocessing, image segmentation, feature extraction and defect classification. The design and implementation of measurement system of mechanical parts with multihole based on machine vision will be discussed in this paper. The experiment results show that the improved algorithm can effectively filter the noise of surface images, which make the outline of the hole can be tested out easier. The system in this paper not only ensures the measurement precision of the pore diameter of the workpiece, but also realizes the measurement of the pore diameter of the workpiece at the same time.
    VL  - 6
    IS  - 2
    ER  - 

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Author Information
  • Guangdong Institute of Intelligent Manufacturing, Guangzhou, China

  • Guangdong Institute of Intelligent Manufacturing, Guangzhou, China

  • Guangdong Institute of Intelligent Manufacturing, Guangzhou, China

  • Guangdong Institute of Intelligent Manufacturing, Guangzhou, China

  • Guangdong Institute of Intelligent Manufacturing, Guangzhou, China

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