Abstract
We present a framework for automatic inspection of welding seams based on specular reflections. To this end, we make use of a feature set -- called specularity features (SPECs) -- that describes statistical properties of specular reflections. For the classification we use a one-class support-vector approach. We show that the SPECs significantly outperform other approaches since they capture more complex characteristics and dependencies of shape and geometry. We obtain an error rate of 3.8%, which corresponds to the level of human performance.
Original language | English |
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Title of host publication | Computer Vision, Imaging and Computer Graphics. Theory and Applications |
Editors | AlpeshKumar Ranchordas, João Madeiras Pereira, Hélder J. Araújo, João Manuel R. S. Tavares |
Number of pages | 14 |
Volume | 68 |
Place of Publication | Berlin, Heidelberg |
Publisher | Springer Berlin Heidelberg |
Publication date | 2010 |
Pages | 269-282 |
ISBN (Print) | 978-3-642-11839-5 |
ISBN (Electronic) | 978-3-642-11840-1 |
DOIs | |
Publication status | Published - 2010 |
Event | International Joint Conference - Lissabon, Portugal Duration: 05.02.2009 → 08.02.2009 |