Special Section on Quality Control by Artificial Vision

Calibration and quality control of cherries by artificial vision

[+] Author Affiliations
Christophe Rosenberger, Bruno Emile, Helene Laurent

Universite´ d’Orle´ans, Laboratoire de Vision et Robotique, UPRES EA 2078, ENSI de Bourges, 10 Boulevard Lahitolle, 18020?Bourges Cedex, France

J. Electron. Imaging. 13(3), 539-546 (Jul 01, 2004). doi:10.1117/1.1760082
History: Received Jul. 9, 2003; Accepted Feb. 25, 2004; Online July 29, 2004
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We describe an artificial vision system for the quality control of cherries. We develop image-processing software determining three types of information describing the quality of the fruit: the color as an indicator of ripeness, the presence of defects such as cracking, and the size. The sorting of cherries conditioned by all these criteria is carried out at a high cadence (20 cherries/s). Real-time image processing is then necessary. A simple sensor is used to synchronize the processing and the sorting of cherries. Air actuators are used to eject them after quality control by vision. We present the architecture of the developed system. We show its efficiency through experimental results and we give some perspectives of improvement. © 2004 SPIE and IS&T.

© 2004 SPIE and IS&T

Citation

Christophe Rosenberger ; Bruno Emile and Helene Laurent
"Calibration and quality control of cherries by artificial vision", J. Electron. Imaging. 13(3), 539-546 (Jul 01, 2004). ; http://dx.doi.org/10.1117/1.1760082


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