6 January 1995 Machine vision system for automated detection of stained pistachio nuts
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Proceedings Volume 2345, Optics in Agriculture, Forestry, and Biological Processing; (1995); doi: 10.1117/12.198863
Event: Photonics for Industrial Applications, 1994, Boston, MA, United States
Abstract
A machine vision system was developed to separate stained pistachio nuts, which comprise of about 5% of the California crop, from unstained nuts. The system may be used to reduce labor involved with manual grading or to remove aflatoxin contaminated product from low grade process streams. The system was tested on two different pistachio process streams: the bi- chromatic color sorter reject stream and the small nut shelling stock stream. The system had a minimum overall error rate of 14% for the bi-chromatic sorter reject stream and 15% for the small shelling stock stream.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tom C. Pearson, "Machine vision system for automated detection of stained pistachio nuts", Proc. SPIE 2345, Optics in Agriculture, Forestry, and Biological Processing, (6 January 1995); doi: 10.1117/12.198863; https://doi.org/10.1117/12.198863
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KEYWORDS
Digital signal processing

Cameras

Signal processing

Machine vision

Inspection

Image filtering

Video

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