Journal Published Online: 01 September 2003
Volume 31, Issue 5

Automatic Classification of Faience Tiles by Artificial Vision



The detection and identification of defects in fairence tiles during manufacture is necessary for an objective evaluation of quality, and for rapidity of processing. To this end, we are working on the automatic classification of surface defects observed on faience tiles.

The range of production is large and tile imprints are diversified. This leads to a complexity in the choice of the classification method and in the parameters to adopt.

After a subdivision of tiles into several types according to imprint, we propose in this paper, for each type, the methodology and the processing realized in order to classify tiles as 1st, 2nd, or 3rd quality.

Author Information

Bouhlel, MS
Laboratory of Electronics and Information Technologies (LETI) National Engineering School of Sfax, B.P.W, Sfax, Tunisia
Elloumi, M
Pages: 5
Price: $25.00
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Stock #: JTE12364J
ISSN: 0090-3973
DOI: 10.1520/JTE12364J