Abstract
This paper presents a surface inspection prototype of an automatic system for precision ground metallic surfaces, in this case bearing rolls. The surface reflectance properties are modeled and verified with optical experiments. The aim being to determine the optical arrangement for illumination and observation, where the contrast between errors and intact surface is maximized. A new adaptive threshold selection algorithm for segmentation is presented. Additionally, is included an evaluation of a large number of published sequential search algorithms for selection of the best subset of features for the classification with a comparison of their computational requirements. Finally, the results of classification for 540 flaw images are presented.
| Original language | English |
|---|---|
| Pages (from-to) | 667-678 |
| Number of pages | 12 |
| Journal | EURASIP journal on applied signal processing : a publication of the European Association for Speech, Signal, and Image Processing |
| Volume | 2002 |
| Issue number | 7 |
| DOIs | |
| Publication status | Published - 24 Jul 2002 |
Keywords
- Feature selection
- Flaw detection
- Segmentation
- Statistical classification
- Surface reflection
- Visual inspection