Image selection based on Grayscale features in robotic welding

Zhen Ye; Gu Fang; Shanben Chen; Ju Jia Zou

doi:10.1007/978-3-642-23896-3_8

Image selection based on Grayscale features in robotic welding

Zhen Ye, Gu Fang, Shanben Chen, Ju Jia Zou

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

1 Citation (Scopus)

Abstract

![CDATA[In robotic welding seam tracking based on visual information has been studied in the recent years. However, it is difficult to ensure the quality of images obtained in the welding process because it is easily affected by spattering, fuming and electromagnetic noise. The paper introduces a method to select useful images before further processing. Experimental tests are conducted to verify its accuracy.]]

Original language	English
Title of host publication	Artificial Intelligence and Computational Intelligence: Third International Conference, AICI 2011, Taiyuan, China, September 24-25, 2011: Proceedings, Part II
Publisher	Springer
Pages	63-70
Number of pages	8
ISBN (Print)	9783642238956
DOIs	https://doi.org/10.1007/978-3-642-23896-3_8
Publication status	Published - 2011
Event	International Conference on Artificial Intelligence and Computational Intelligence - Duration: 1 Jan 2011 → …

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Name
ISSN (Print)	0302-9743

Conference

Conference	International Conference on Artificial Intelligence and Computational Intelligence
Period	1/01/11 → …

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10.1007/978-3-642-23896-3_8

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@inproceedings{a4802370ee5c4097be362957d1c2a0dd,

title = "Image selection based on Grayscale features in robotic welding",

abstract = "![CDATA[In robotic welding seam tracking based on visual information has been studied in the recent years. However, it is difficult to ensure the quality of images obtained in the welding process because it is easily affected by spattering, fuming and electromagnetic noise. The paper introduces a method to select useful images before further processing. Experimental tests are conducted to verify its accuracy.]]",

author = "Zhen Ye and Gu Fang and Shanben Chen and Zou, {Ju Jia}",

year = "2011",

doi = "10.1007/978-3-642-23896-3_8",

language = "English",

isbn = "9783642238956",

publisher = "Springer",

pages = "63--70",

booktitle = "Artificial Intelligence and Computational Intelligence: Third International Conference, AICI 2011, Taiyuan, China, September 24-25, 2011: Proceedings, Part II",

note = "International Conference on Artificial Intelligence and Computational Intelligence ; Conference date: 01-01-2011",

}

Ye, Z, Fang, G, Chen, S & Zou, JJ 2011, Image selection based on Grayscale features in robotic welding. in Artificial Intelligence and Computational Intelligence: Third International Conference, AICI 2011, Taiyuan, China, September 24-25, 2011: Proceedings, Part II. Springer, pp. 63-70, International Conference on Artificial Intelligence and Computational Intelligence, 1/01/11. https://doi.org/10.1007/978-3-642-23896-3_8

Image selection based on Grayscale features in robotic welding. / Ye, Zhen; Fang, Gu; Chen, Shanben et al.
Artificial Intelligence and Computational Intelligence: Third International Conference, AICI 2011, Taiyuan, China, September 24-25, 2011: Proceedings, Part II. Springer, 2011. p. 63-70.

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

TY - GEN

T1 - Image selection based on Grayscale features in robotic welding

AU - Ye, Zhen

AU - Fang, Gu

AU - Chen, Shanben

AU - Zou, Ju Jia

PY - 2011

Y1 - 2011

N2 - ![CDATA[In robotic welding seam tracking based on visual information has been studied in the recent years. However, it is difficult to ensure the quality of images obtained in the welding process because it is easily affected by spattering, fuming and electromagnetic noise. The paper introduces a method to select useful images before further processing. Experimental tests are conducted to verify its accuracy.]]

AB - ![CDATA[In robotic welding seam tracking based on visual information has been studied in the recent years. However, it is difficult to ensure the quality of images obtained in the welding process because it is easily affected by spattering, fuming and electromagnetic noise. The paper introduces a method to select useful images before further processing. Experimental tests are conducted to verify its accuracy.]]

UR - http://handle.uws.edu.au:8081/1959.7/543406

U2 - 10.1007/978-3-642-23896-3_8

DO - 10.1007/978-3-642-23896-3_8

M3 - Conference Paper

SN - 9783642238956

SP - 63

EP - 70

BT - Artificial Intelligence and Computational Intelligence: Third International Conference, AICI 2011, Taiyuan, China, September 24-25, 2011: Proceedings, Part II

PB - Springer

T2 - International Conference on Artificial Intelligence and Computational Intelligence

Y2 - 1 January 2011

ER -

Image selection based on Grayscale features in robotic welding

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