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International Agrophysics |
wydawca: | Instytut Agrofizyki
im. B. Dobrzańskiego
PAN
w Lublinie |
ISSN: |
0236-8722 |
vol. 26, nr. 1 (2012)
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poprzedni artykuł wróć do listy artykułów następny artykuł |
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Application of image texture analysis for varietal classification of barley |
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P. Zapotoczny |
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Department of Agri-Food Process Engineering, University of Warmia and Mazury, Heweliusza 14, 10-718 Olsztyn, Poland |
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vol. 26 (2012), nr. 1,
pp. 81-90
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streszczenie
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%.
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słowa kluczowe
digital image analysis, automated kernel grading, image texture analysis, discrimination, barley
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