A VISION SYSTEM FOR ONLINE WEAR DETECTION |
|---|
| Jianbo Zhang, Maarten Korsten, Paul Regtien |
- Abstract:
- Wear detection has traditionally restricted itself to offline study and measurement. In this paper a vision system for online monitoring and detection of wear is described. This system uses a video zoom microscope and a high-resolution monochrome camera to capture the image series of a moving surface under study. An algorithm based on multichannel filtering for the detection of wear patterns is presented. The wear patterns are extracted by filtering the acquired image using a Gabor filter bank with multiple narrow spatial frequency and orientation channels. Experiments show the feasibility and usefulness of the proposed vision system and detection method of wear patterns.
- Keywords:
- Online wear detection
- Download:
- PWC-2003-TC15-010.pdf
- DOI:
- -
- Event details
- Event name:
- XVII IMEKO World Congress
- Title:
Metrology in the 3rd Millennium
- Place:
- Dubrovnik, CROATIA
- Time:
- 22 June 2003 - 28 June 2003