Application of image texture analysis for varietal classification of barley

This paper presents the results of a study into the use of the texture parameters of barley kernel images in varietal classification. A total of more than 270 textures have been calculated from the surface of single kernels and bulk grain. The measurements were performed in four channels from a 24 b...

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Bibliographic Details
Published in:International Agrophysics 2012-02, Vol.26 (1), p.81-90
Main Author: Zapotoczny, P.
Format: Article
Language:English
Subjects:
automated kernel grading
barley
digital image analysis
discrimination
image texture analysis
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Summary:This paper presents the results of a study into the use of the texture parameters of barley kernel images in varietal classification. A total of more than 270 textures have been calculated from the surface of single kernels and bulk grain. The measurements were performed in four channels from a 24 bit image. The results were processed statistically by variable reduction and general discriminant analysis. Classification accuracy was more than 99%.
ISSN:0236-8722
2300-8725
DOI:10.2478/v10247-012-0012-z