Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics

Research of Precise Measurement Technology of Automatic Production Line

Authors
Zhihong Wang, Wenbin Wang, Yuqin Yao
Corresponding Author
Zhihong Wang
Available Online April 2015.
DOI
10.2991/ameii-15.2015.63How to use a DOI?
Keywords
Camera calibration; Nonlinear optimization; Digital image processing; Edge detection
Abstract

Digital image processing is to modify graphics, improving image quality and extract valuable information from the images. The detection technology based on machine vision is more applicable for the dangerous environment and situations that difficult to find, it is can also avoid the error generated by human vision. This paper introduces the precise measurement technology based on machine vision, and distortion correction theory was studied by the nonlinear optimization which is based on the traditional camera calibration method, then the samples were measured by edge detection with Sobel operator. The result shows that this method is promotive to the accurate measurement.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics
Series
Advances in Engineering Research
Publication Date
April 2015
ISBN
10.2991/ameii-15.2015.63
ISSN
2352-5401
DOI
10.2991/ameii-15.2015.63How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Zhihong Wang
AU  - Wenbin Wang
AU  - Yuqin Yao
PY  - 2015/04
DA  - 2015/04
TI  - Research of Precise Measurement Technology of Automatic Production Line
BT  - Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics
PB  - Atlantis Press
SP  - 347
EP  - 350
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-15.2015.63
DO  - 10.2991/ameii-15.2015.63
ID  - Wang2015/04
ER  -