Method for Identifying Arc Length of TIG Welding Based on Machine Vision and Image Processing

Shoujie Duan; Niansong Zhang; Aiming Wang

doi:10.1145/3387168.3387187

Method for Identifying Arc Length of TIG Welding Based on Machine Vision and Image Processing

Shoujie Duan, Niansong Zhang, Aiming Wang

School of Mechanical Engineering

Nanjing University of Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this paper, the TIG welding arc image is acquired by CCD camera, and the image processing technology is used to analyze and process the image to identify the length of welding arc. In this study, the pixel calibration method based on gradient operator and morphological operation is determined, an inflection detection algorithm that can accurately identify tungsten tip and an adaptive threshold algorithm that can obtain the best threshold to accurately segment the image is proposed. The experimental results show that this method can effectively identify the arc length, which is of great significance to the later study of visual-based arc length control method.

Original language	English
Title of host publication	Proceedings of the 3rd International Conference on Vision, Image and Signal Processing, ICVISP 2019
Publisher	Association for Computing Machinery
ISBN (Electronic)	9781450376259
DOIs	https://doi.org/10.1145/3387168.3387187
Publication status	Published - 26 Aug 2019
Event	3rd International Conference on Vision, Image and Signal Processing, ICVISP 2019 - Vancouver, Canada Duration: 26 Aug 2019 → 28 Aug 2019

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	3rd International Conference on Vision, Image and Signal Processing, ICVISP 2019
Country/Territory	Canada
City	Vancouver
Period	26/08/19 → 28/08/19

Keywords

Arc Length
Image Processing
Welding Arc

Access to Document

10.1145/3387168.3387187

Cite this

@inproceedings{89ac13f7b0874fc79185b7c50c2783b6,

title = "Method for Identifying Arc Length of TIG Welding Based on Machine Vision and Image Processing",

abstract = "In this paper, the TIG welding arc image is acquired by CCD camera, and the image processing technology is used to analyze and process the image to identify the length of welding arc. In this study, the pixel calibration method based on gradient operator and morphological operation is determined, an inflection detection algorithm that can accurately identify tungsten tip and an adaptive threshold algorithm that can obtain the best threshold to accurately segment the image is proposed. The experimental results show that this method can effectively identify the arc length, which is of great significance to the later study of visual-based arc length control method.",

keywords = "Arc Length, Image Processing, Welding Arc",

author = "Shoujie Duan and Niansong Zhang and Aiming Wang",

note = "Publisher Copyright: {\textcopyright} 2019 ACM.; 3rd International Conference on Vision, Image and Signal Processing, ICVISP 2019 ; Conference date: 26-08-2019 Through 28-08-2019",

year = "2019",

month = aug,

day = "26",

doi = "10.1145/3387168.3387187",

language = "English",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery",

booktitle = "Proceedings of the 3rd International Conference on Vision, Image and Signal Processing, ICVISP 2019",

}

Duan, S, Zhang, N & Wang, A 2019, Method for Identifying Arc Length of TIG Welding Based on Machine Vision and Image Processing. in Proceedings of the 3rd International Conference on Vision, Image and Signal Processing, ICVISP 2019. ACM International Conference Proceeding Series, Association for Computing Machinery, 3rd International Conference on Vision, Image and Signal Processing, ICVISP 2019, Vancouver, Canada, 26/08/19. https://doi.org/10.1145/3387168.3387187

Method for Identifying Arc Length of TIG Welding Based on Machine Vision and Image Processing. / Duan, Shoujie; Zhang, Niansong; Wang, Aiming.
Proceedings of the 3rd International Conference on Vision, Image and Signal Processing, ICVISP 2019. Association for Computing Machinery, 2019. (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Method for Identifying Arc Length of TIG Welding Based on Machine Vision and Image Processing

AU - Duan, Shoujie

AU - Zhang, Niansong

AU - Wang, Aiming

PY - 2019/8/26

Y1 - 2019/8/26

N2 - In this paper, the TIG welding arc image is acquired by CCD camera, and the image processing technology is used to analyze and process the image to identify the length of welding arc. In this study, the pixel calibration method based on gradient operator and morphological operation is determined, an inflection detection algorithm that can accurately identify tungsten tip and an adaptive threshold algorithm that can obtain the best threshold to accurately segment the image is proposed. The experimental results show that this method can effectively identify the arc length, which is of great significance to the later study of visual-based arc length control method.

AB - In this paper, the TIG welding arc image is acquired by CCD camera, and the image processing technology is used to analyze and process the image to identify the length of welding arc. In this study, the pixel calibration method based on gradient operator and morphological operation is determined, an inflection detection algorithm that can accurately identify tungsten tip and an adaptive threshold algorithm that can obtain the best threshold to accurately segment the image is proposed. The experimental results show that this method can effectively identify the arc length, which is of great significance to the later study of visual-based arc length control method.

KW - Arc Length

KW - Image Processing

KW - Welding Arc

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U2 - 10.1145/3387168.3387187

DO - 10.1145/3387168.3387187

M3 - Conference contribution

AN - SCOPUS:85123040891

T3 - ACM International Conference Proceeding Series

BT - Proceedings of the 3rd International Conference on Vision, Image and Signal Processing, ICVISP 2019

PB - Association for Computing Machinery

T2 - 3rd International Conference on Vision, Image and Signal Processing, ICVISP 2019

Y2 - 26 August 2019 through 28 August 2019

ER -

Method for Identifying Arc Length of TIG Welding Based on Machine Vision and Image Processing

Abstract

Publication series

Conference

Keywords

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