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Proceedings Paper

A study of the influence of the orientation and arrangement features of wheat grains and their color on determination of the vitreousity
Author(s): D. Troshkin; A. Chertov; E. Gorbunova; I. Baranov; D. Mironova; A. S. Kushkoeva; E. Zuev; I. Loskutov
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Paper Abstract

Improving the quality of grain products is of great importance, since grains are the basis of the modern man diet. In this regard, one of the most important tasks is to control the grain quality parameters at the stages of its assessment and classification, transportation and storage, processing and use in production. This work is devoted to the study of the influence of the mutual arrangement of grains, their orientation and color on the determination of wheat grains vitreousity using computer vision system. A significant decrease in the calculated value of the vitreousity index at a close arrangement of grains relative to each other was revealed. The color of the grain is also an important indicator. The experimental results showed that the transmittance of red grain is much lower than that of white, due to the presence of pigment cells. This fact makes it impossible to determine the vitreousity of a mixture of different types of wheat without a preliminary color analysis, which greatly complicates the quality analysis process. To overcome the identified limitations, it was proposed to use the IR source as the lower illumination source. The experiment showed that the use of IR illumination allows to completely exclude the influence of the mutual arrangement of grains and their color on the determination of the vitreousity index.

Paper Details

Date Published: 21 June 2019
PDF: 7 pages
Proc. SPIE 11061, Automated Visual Inspection and Machine Vision III, 110610K (21 June 2019);
Show Author Affiliations
D. Troshkin, ITMO Univ. (Russian Federation)
A. Chertov, ITMO Univ. (Russian Federation)
E. Gorbunova, ITMO Univ. (Russian Federation)
I. Baranov, ITMO Univ. (Russian Federation)
D. Mironova, ITMO Univ. (Russian Federation)
A. S. Kushkoeva, ITMO Univ. (Russian Federation)
E. Zuev, N.I. Vavilov Institute of Plant Genetic Resources (VIR) (Russian Federation)
I. Loskutov, N.I. Vavilov Institute of Plant Genetic Resources (VIR) (Russian Federation)


Published in SPIE Proceedings Vol. 11061:
Automated Visual Inspection and Machine Vision III
Jürgen Beyerer; Fernando Puente León, Editor(s)

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