Image vision technology for the characterisation of shape and geometrical properties of two varieties of lentil grown in Turkey

Image vision technology for the characterisation of shape and geometrical properties of two varieties of lentil grown in Turkey

Geometrical features of lentil seeds (Lens culinaris Medik) were analysed using the image analysis LUCIA system Ver. 3.52. The values of the weight of 1000 kernels, kernel density, specific volume, specific surface area, and surface area of 1000 kernels of red and green lentils were determined as 66...

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Bibliographic Details
Main Authors: Ebru Firatligil-Durmuş, Evžen Šárka, Zdeněk Bubník
Format: Article
Language:English
Published: Czech Academy of Agricultural Sciences 2008-04-01
Series:Czech Journal of Food Sciences
Subjects:
image analysis
lentil
legumes
size parameters
geometrical model
Online Access:https://cjfs.agriculturejournals.cz/artkey/cjf-200802-0003_image-vision-technology-for-the-characterisation-of-shape-and-geometrical-properties-of-two-varieties-of-lentil.php

Internet

https://cjfs.agriculturejournals.cz/artkey/cjf-200802-0003_image-vision-technology-for-the-characterisation-of-shape-and-geometrical-properties-of-two-varieties-of-lentil.php

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