1 October 1997 Real-time characterization of aspect flaws on warped surface by artificial vision
Christophe Dumont, Frederic Truchetet, Denis Aluze, Fabrice Meriaudeau
Author Affiliations +
Artificial vision is an efficient means of assuring the quality of a certain class of products. The vision system must respect the industrial constraints, in particular, the production rate. The geometrical features of flaws are pertinent information used for the acceptance of the controlled product. This article presents a real-time algorithm for the geometrical characterization of defects located on warped objects. The algorithms described enable the characterization of defects by their size and their 2-D shape. Both parameters are calculated in real time by simple reference to a look-up table. The 2-D shape is obtained by a geometrical transform and an interpolation. The efficiency of the characterization method is experimentally evaluated.
Christophe Dumont, Frederic Truchetet, Denis Aluze, and Fabrice Meriaudeau "Real-time characterization of aspect flaws on warped surface by artificial vision," Optical Engineering 36(10), (1 October 1997). https://doi.org/10.1117/1.601501
Published: 1 October 1997
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Cameras

Machine vision

Charge-coupled devices

CCD cameras

Image segmentation

Optical engineering

CCD image sensors

RELATED CONTENT

Based on line scan CCD print image detection system
Proceedings of SPIE (December 14 2015)
High-resolution CCD imaging alternatives
Proceedings of SPIE (August 12 1992)
Multisensor system self-calibration
Proceedings of SPIE (September 13 1995)

Back to Top