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Journal of Electronic Imaging

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

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.

Paper Details

Date Published: 1 July 2004
PDF: 8 pages
J. Electron. Imaging. 13(3) doi: 10.1117/1.1760082
Published in: Journal of Electronic Imaging Volume 13, Issue 3
Show Author Affiliations
Christophe Rosenberger, Lab. Vision et Robotique (France)
B. Emile, Univ. d'Orléans (France)
H. Laurent, Univ. d'Orléans (France)

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