9 November 2005 Machine vision system for quality inspection of bulk rice seeds
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Proceedings Volume 5996, Optical Sensors and Sensing Systems for Natural Resources and Food Safety and Quality; 599616 (2005); doi: 10.1117/12.629319
Event: Optics East 2005, 2005, Boston, MA, United States
Abstract
A machine vision system for quality inspection of bulk rice seeds has been developed in this research. This system is designed to inspect rice seeds on a rotating disk with a CCD camera. The seeds scattering and positioning device on this system, under continuous feeding condition, reaches 85% fill-ratio of the number of holes on the disk. Combining morphological and color characteristics gave a highly acceptable classification. The high classification accuracies obtained using a small number of features indicate the potential of the algorithm for on-line inspection of germinated rice seeds in industrial environment. The overall average classification accuracy among the four categories was above 90%. This paper presents the significant elements of the computer vision system and emphasizes the important aspects of the image processing technique.
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F. Cheng, YB Ying, "Machine vision system for quality inspection of bulk rice seeds", Proc. SPIE 5996, Optical Sensors and Sensing Systems for Natural Resources and Food Safety and Quality, 599616 (9 November 2005); doi: 10.1117/12.629319; https://doi.org/10.1117/12.629319
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KEYWORDS
Inspection

Machine vision

Quality systems

Scattering

Computing systems

Photography

Cameras

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