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

Chen Qiyu; Wang Yu; Wu Zhiheng; Tong Jigang; Mo Juexian

doi:doi:10.11648/j.jeee.20180602.15

| Peer-Reviewed

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

Chen Qiyu, Wang Yu, Wu Zhiheng, Tong Jigang, Mo Juexian

Published in Journal of Electrical and Electronic Engineering (Volume 6, Issue 2)

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

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

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.

Published in	Journal of Electrical and Electronic Engineering (Volume 6, Issue 2)
DOI	10.11648/j.jeee.20180602.15
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

[1]	Li Yunfeng, Han Cece, Li Shengyang. Measurement of dimension parameters of stamping parts based on machine vision [J]. Tool technology, 2015, 49 (1):95-98.
[2]	Tang Bo, Kong Jianyi Overview of machine vision surface defect detection [J]. Journal of Image and Graphics, 2017, 22 (12): 1640-1663.
[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.
[8]	Li Jifeng, Zhao Fengxia, Jin Sahobo. Design of machine vision defect detection system for glass fiber cloth [J]. Machinery Design and Manufacture, 2018, 1 (1): 163-169.
[9]	GUO Ruifeng, YUAN Chaofeng, YANG Liu, PENG Guangyu. Research on measurement of machine vision based on Open CV [J]. Computer Engineering and Applications, 2017, 53 (9):253-257.
[10]	LI Yarrfeng，LI Xuyu，YANU liu. Rapid Glass Refractive Index Measurement Method Based on Machine Vision [J]. Acta Optica Sinica, 2017, 46 (11): 1-7.

Cite This Article

Plain Text BibTeX RIS

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

Copy | Download

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

Copy | Download

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

Copy | Download

@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}
}

Copy | Download

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  -

Copy | Download

Author Information

Chen Qiyu

Guangdong Institute of Intelligent Manufacturing, Guangzhou, China
Wang Yu

Guangdong Institute of Intelligent Manufacturing, Guangzhou, China
Wu Zhiheng

Guangdong Institute of Intelligent Manufacturing, Guangzhou, China
Tong Jigang

Guangdong Institute of Intelligent Manufacturing, Guangzhou, China
Mo Juexian

Guangdong Institute of Intelligent Manufacturing, Guangzhou, China

Download PDF

Sections

Plain Text BibTeX RIS

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

Copy | Download

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

Copy | Download

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

Copy | Download

@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}
}

Copy | Download

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  -

Copy | Download