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 proceedingConference contribution

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 languageEnglish
Title of host publication19th International Conference on Flexible Automation and Intelligent Manufacturing 2009 (FAIM 2009)
Subtitle of host publicationProceedings of a meeting held 6-8 July 2009, Middlesbrough, United Kingdom
EditorsFarhad Nabhani, Catherine Frost, Sara Zarei, Munir Ahmad, William G. Sullivan
PublisherCurran Associates, Inc
Pages939-946
Number of pages8
Volume1
ISBN (Print)9781615676279
Publication statusPublished - 2009
Event19th International Conference on Flexible Automation and Intelligent Manufacturing - University of Teeside, Middlesbrough, United Kingdom
Duration: 6 Jul 20098 Jul 2009
Conference number: 19
http://www.faim2009.org/

Conference

Conference19th International Conference on Flexible Automation and Intelligent Manufacturing
Abbreviated titleFAIM 2009
CountryUnited Kingdom
CityMiddlesbrough
Period6/07/098/07/09
Internet address

Fingerprint

Image retrieval
Intelligent systems
Welding
Defects
Image processing
Inspection
Cracks
Engineers
Gases

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 ; Xu, Qiang ; Uran, Miro ; Mráz, Luboš. / 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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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; Xu, Qiang; Uran, Miro; Mráz, Luboš.

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 proceedingConference contribution

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

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

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A2 - Ahmad, Munir

A2 - Sullivan, William G.

PB - Curran Associates, Inc

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