An Intelligent System for Analyzing Welding Defects using Image Retrieval Techniques

Pein, Raoul Pascal, Lu, Joan, Stav, John Birger, Xu, Qiang, Uran, Miro and Mráz, Luboš (2009) An Intelligent System for Analyzing Welding Defects using Image Retrieval Techniques. In: 19th International Conference on Flexible Automation and Intelligent Manufacturing 2009 (FAIM 2009). Curran Associates, pp. 939-946. ISBN 9781615676279

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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.

Information

URI:

https://eprints.hud.ac.uk/id/eprint/7670

Title:

An Intelligent System for Analyzing Welding Defects using Image Retrieval Techniques

Creators:

Pein, Raoul Pascal, Lu, Joan, Stav, John Birger, Xu, Qiang, Uran, Miro and Mráz, Luboš

Editors:

Nabhani, F.

Date:

July 2009

Subjects:

Q Science > QA Mathematics > QA75 Electronic computers. Computer science

Schools:

School of Computing and Engineering
School of Computing and Engineering > Diagnostic Engineering Research Centre
School of Computing and Engineering > Diagnostic Engineering Research Centre > Measurement System and Signal Processing Research Group
School of Computing and Engineering > High-Performance Intelligent Computing
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School of Computing and Engineering > High-Performance Intelligent Computing > Information and Systems Engineering Group

Additional Information:

Paper presented at Proceedings of the 19th International Conference on Flexible Automation and Intelligent Manufacturing (FAIM), 5th-8th July 2009, Teesside University

Library

Item Type:

Book Chapter

Presentation Type:

Paper

Depositing User:

Raoul Pein

Date Deposited:

18 May 2010 15:27

Revision:

101

Last Modified: