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Proceedings Paper

Machine vision system for quality inspection of bulk rice seeds
Author(s): F. Cheng; YB Ying
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Paper 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.

Paper Details

Date Published: 8 November 2005
PDF: 8 pages
Proc. SPIE 5996, Optical Sensors and Sensing Systems for Natural Resources and Food Safety and Quality, 599616 (8 November 2005); doi: 10.1117/12.629319
Show Author Affiliations
F. Cheng, Zhejiang Univ. (China)
YB Ying, Zhejiang Univ. (China)


Published in SPIE Proceedings Vol. 5996:
Optical Sensors and Sensing Systems for Natural Resources and Food Safety and Quality
Yud-Ren Chen; George E. Meyer; Shu-I Tu, Editor(s)

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