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Proceedings Paper

Calibration and quality control of cherries by artificial vision
Author(s): F. Poupeau; Christophe Rosenberger; H. Laurent; Emile B.; J. Fachaux
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Paper Abstract

This article describes an artificial vision system for the quality control of cherries. It allows to obtain three types of information describing the fruit: the color as indicator of ripeness, the presence of defects such as cracking and lastly the size. The sorting of cherries conditioned by all these criteria is carried out at a high cadence (twenty cherries per second). Optimized algorithms of image processing are then necessary. We present in this paper the architecture of the developed system and we show the efficiency through experimental results.

Paper Details

Date Published: 1 May 2003
PDF: 8 pages
Proc. SPIE 5132, Sixth International Conference on Quality Control by Artificial Vision, (1 May 2003); doi: 10.1117/12.515126
Show Author Affiliations
F. Poupeau, ENSI of Bourges (France)
Christophe Rosenberger, ENSI of Bourges (France)
H. Laurent, ENSI of Bourges (France)
Emile B., ENSI of Bourges (France)
J. Fachaux, Calibreuses Fachaux (France)

Published in SPIE Proceedings Vol. 5132:
Sixth International Conference on Quality Control by Artificial Vision
Kenneth W. Tobin Jr.; Fabrice Meriaudeau, Editor(s)

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