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.
|Publication status||Published - 2009|
|Event||19th International Conference on Flexible Automation and Intelligent Manufacturing - Teesside University, Middlesbrough, United Kingdom|
Duration: 6 Jul 2009 → 8 Jul 2009
Conference number: 19
|Conference||19th International Conference on Flexible Automation and Intelligent Manufacturing|
|Abbreviated title||FAIM 2009|
|Period||6/07/09 → 8/07/09|
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.