Paper
1 May 2003 Calibration and quality control of cherries by artificial vision
F. Poupeau, Christophe Rosenberger, H. Laurent, Emile B., J. Fachaux
Author Affiliations +
Proceedings Volume 5132, Sixth International Conference on Quality Control by Artificial Vision; (2003) https://doi.org/10.1117/12.515126
Event: Quality Control by Artificial Vision, 2003, Gatlinburg, TE, United States
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.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
F. Poupeau, Christophe Rosenberger, H. Laurent, Emile B., and J. Fachaux "Calibration and quality control of cherries by artificial vision", Proc. SPIE 5132, Sixth International Conference on Quality Control by Artificial Vision, (1 May 2003); https://doi.org/10.1117/12.515126
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Cited by 5 scholarly publications.
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KEYWORDS
Control systems

Machine vision

Light sources and illumination

Actuators

Calibration

Image processing

Quality systems

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