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Abstract
This article presents a method to identify good and bad grain and then they will be classified and processed. The algorithm mentioned here will determine the good and bad grain at high speed frame (18500 frames/s), and determine the speed of rice moving. The identification of better or worse than the threshold used in the algorithm are combination of light wavelengths and identify appropriate length of grain. This paper describes the experimental results: the influence of the light wavelength, the effect of image-capturing speed, identity technique and threshold filtering.
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Article Details
Issue: Vol 17 No 1 (2014)
Page No.: 29-35
Published: Mar 31, 2014
Section: Engineering and Technology - Research article
DOI: https://doi.org/10.32508/stdj.v17i1.1291
Copyright Info
Copyright: The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Phan, L., Nguyen, N., Pham, D., Nguyen, B., & Le, S. (2014). Color separation Algorithm and Rice identification. Science and Technology Development Journal, 17(1), 29-35. https://doi.org/https://doi.org/10.32508/stdj.v17i1.1291
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