1 July 2004 Calibration and quality control of cherries by artificial vision
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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.
© (2004) Society of Photo-Optical Instrumentation Engineers (SPIE)
Christophe Rosenberger, Christophe Rosenberger, B. Emile, B. Emile, H. Laurent, H. Laurent, } "Calibration and quality control of cherries by artificial vision," Journal of Electronic Imaging 13(3), (1 July 2004). https://doi.org/10.1117/1.1760082 . Submission:
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