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 |
|---|---|
| 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 |
