Machine vision system for quality inspection of bulk rice seeds

F. Cheng; YB Ying

doi:10.1117/12.629319

8 November 2005 Machine vision system for quality inspection of bulk rice seeds

F. Cheng, YB Ying

Proceedings Volume 5996, Optical Sensors and Sensing Systems for Natural Resources and Food Safety and Quality; 599616 (2005) https://doi.org/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.

Citation Download Citation

F. Cheng and 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 (8 November 2005); https://doi.org/10.1117/12.629319

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