An Intelligent System for Analyzing Welding Defects using Image Retrieval Techniques

Raoul Pascal Pein; Zhongyu Lou; John Birger Stav; Qiang Xu; Miro Uran; Luboš Mráz

An Intelligent System for Analyzing Welding Defects using Image Retrieval Techniques

Raoul Pascal Pein, Zhongyu Lou, John Birger Stav, Qiang Xu, Miro Uran, Luboš Mráz

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

Abstract

The development of new approaches in image processing and retrieval provides several opportunities in supporting in different domains. The group of welding engineers frequently needs to conduct visual inspections to assess the quality of welding products. It is investigated, if this process can be supported by different kinds of software. Techniques from a generic CBIR system have been successfully used to cluster welding photographs according to the severeness of visual faults. Similarity algorithms were used to automatically spot faults, such as cracks and gas pores

Original language	English
Title of host publication	19th International Conference on Flexible Automation and Intelligent Manufacturing 2009 (FAIM 2009)
Subtitle of host publication	Proceedings of a meeting held 6-8 July 2009, Middlesbrough, United Kingdom
Editors	Farhad Nabhani, Catherine Frost, Sara Zarei, Munir Ahmad, William G. Sullivan
Publisher	Curran Associates, Inc
Pages	939-946
Number of pages	8
Volume	1
ISBN (Print)	9781615676279
Publication status	Published - 2009
Event	19th International Conference on Flexible Automation and Intelligent Manufacturing - University of Teeside, Middlesbrough, United Kingdom Duration: 6 Jul 2009 → 8 Jul 2009 Conference number: 19 http://www.faim2009.org/

Conference

Conference	19th International Conference on Flexible Automation and Intelligent Manufacturing
Abbreviated title	FAIM 2009
Country/Territory	United Kingdom
City	Middlesbrough
Period	6/07/09 → 8/07/09
Internet address	http://www.faim2009.org/

Cite this

Pein, R. P., Lou, Z., Stav, J. B., Xu, Q., Uran, M., & Mráz, L. (2009). An Intelligent System for Analyzing Welding Defects using Image Retrieval Techniques. In F. Nabhani, C. Frost, S. Zarei, M. Ahmad, & W. G. Sullivan (Eds.), 19th International Conference on Flexible Automation and Intelligent Manufacturing 2009 (FAIM 2009): Proceedings of a meeting held 6-8 July 2009, Middlesbrough, United Kingdom (Vol. 1, pp. 939-946). Curran Associates, Inc.

Pein, Raoul Pascal ; Lou, Zhongyu ; Stav, John Birger et al. / An Intelligent System for Analyzing Welding Defects using Image Retrieval Techniques. 19th International Conference on Flexible Automation and Intelligent Manufacturing 2009 (FAIM 2009): Proceedings of a meeting held 6-8 July 2009, Middlesbrough, United Kingdom. editor / Farhad Nabhani ; Catherine Frost ; Sara Zarei ; Munir Ahmad ; William G. Sullivan. Vol. 1 Curran Associates, Inc, 2009. pp. 939-946

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title = "An Intelligent System for Analyzing Welding Defects using Image Retrieval Techniques",

abstract = "The development of new approaches in image processing and retrieval provides several opportunities in supporting in different domains. The group of welding engineers frequently needs to conduct visual inspections to assess the quality of welding products. It is investigated, if this process can be supported by different kinds of software. Techniques from a generic CBIR system have been successfully used to cluster welding photographs according to the severeness of visual faults. Similarity algorithms were used to automatically spot faults, such as cracks and gas pores",

keywords = "Welding Defects, Image Retrieval, image processing",

author = "Pein, {Raoul Pascal} and Zhongyu Lou and Stav, {John Birger} and Qiang Xu and Miro Uran and Lubo{\v s} Mr{\'a}z",

year = "2009",

language = "English",

isbn = "9781615676279",

volume = "1",

pages = "939--946",

editor = "Farhad Nabhani and Catherine Frost and Sara Zarei and Munir Ahmad and Sullivan, {William G.}",

booktitle = "19th International Conference on Flexible Automation and Intelligent Manufacturing 2009 (FAIM 2009)",

publisher = "Curran Associates, Inc",

address = "United States",

note = "19th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2009 ; Conference date: 06-07-2009 Through 08-07-2009",

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Pein, RP, Lou, Z, Stav, JB, Xu, Q, Uran, M & Mráz, L 2009, An Intelligent System for Analyzing Welding Defects using Image Retrieval Techniques. in F Nabhani, C Frost, S Zarei, M Ahmad & WG Sullivan (eds), 19th International Conference on Flexible Automation and Intelligent Manufacturing 2009 (FAIM 2009): Proceedings of a meeting held 6-8 July 2009, Middlesbrough, United Kingdom. vol. 1, Curran Associates, Inc, pp. 939-946, 19th International Conference on Flexible Automation and Intelligent Manufacturing, Middlesbrough, United Kingdom, 6/07/09.

An Intelligent System for Analyzing Welding Defects using Image Retrieval Techniques. / Pein, Raoul Pascal; Lou, Zhongyu; Stav, John Birger et al.

19th International Conference on Flexible Automation and Intelligent Manufacturing 2009 (FAIM 2009): Proceedings of a meeting held 6-8 July 2009, Middlesbrough, United Kingdom. ed. / Farhad Nabhani; Catherine Frost; Sara Zarei; Munir Ahmad; William G. Sullivan. Vol. 1 Curran Associates, Inc, 2009. p. 939-946.

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

TY - GEN

T1 - An Intelligent System for Analyzing Welding Defects using Image Retrieval Techniques

AU - Pein, Raoul Pascal

AU - Lou, Zhongyu

AU - Stav, John Birger

AU - Xu, Qiang

AU - Uran, Miro

AU - Mráz, Luboš

N1 - Conference code: 19

PY - 2009

Y1 - 2009

N2 - The development of new approaches in image processing and retrieval provides several opportunities in supporting in different domains. The group of welding engineers frequently needs to conduct visual inspections to assess the quality of welding products. It is investigated, if this process can be supported by different kinds of software. Techniques from a generic CBIR system have been successfully used to cluster welding photographs according to the severeness of visual faults. Similarity algorithms were used to automatically spot faults, such as cracks and gas pores

AB - The development of new approaches in image processing and retrieval provides several opportunities in supporting in different domains. The group of welding engineers frequently needs to conduct visual inspections to assess the quality of welding products. It is investigated, if this process can be supported by different kinds of software. Techniques from a generic CBIR system have been successfully used to cluster welding photographs according to the severeness of visual faults. Similarity algorithms were used to automatically spot faults, such as cracks and gas pores

KW - Welding Defects

KW - Image Retrieval

KW - image processing

UR - http://www.proceedings.com/06640.html

UR - http://www.faim2009.org/

M3 - Conference contribution

SN - 9781615676279

VL - 1

SP - 939

EP - 946

BT - 19th International Conference on Flexible Automation and Intelligent Manufacturing 2009 (FAIM 2009)

A2 - Nabhani, Farhad

A2 - Frost, Catherine

A2 - Zarei, Sara

A2 - Ahmad, Munir

A2 - Sullivan, William G.

PB - Curran Associates, Inc

T2 - 19th International Conference on Flexible Automation and Intelligent Manufacturing

Y2 - 6 July 2009 through 8 July 2009

ER -

Pein RP, Lou Z, Stav JB, Xu Q, Uran M, Mráz L. An Intelligent System for Analyzing Welding Defects using Image Retrieval Techniques. In Nabhani F, Frost C, Zarei S, Ahmad M, Sullivan WG, editors, 19th International Conference on Flexible Automation and Intelligent Manufacturing 2009 (FAIM 2009): Proceedings of a meeting held 6-8 July 2009, Middlesbrough, United Kingdom. Vol. 1. Curran Associates, Inc. 2009. p. 939-946

An Intelligent System for Analyzing Welding Defects using Image Retrieval Techniques

Abstract

Conference

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