An intelligent system for analyzing welding defects using image retrieval techniques

Raoul P. Pein, Joan Lu, John B. Stav, Qiang Xu, Miro Uran, Luboš Mráz

Research output: Contribution to conferencePaper

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
Pages919-924
Publication statusPublished - 2009
Externally publishedYes
Event19th International Conference on Flexible Automation and Intelligent Manufacturing - Teesside University, Middlesbrough, United Kingdom
Duration: 6 Jul 20098 Jul 2009
Conference number: 19

Conference

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

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  • Cite this

    Pein, R. P., Lu, J., Stav, J. B., Xu, Q., Uran, M., & Mráz, L. (2009). An intelligent system for analyzing welding defects using image retrieval techniques. 919-924. Paper presented at 19th International Conference on Flexible Automation and Intelligent Manufacturing, Middlesbrough, United Kingdom.