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Microfocus X-Ray Method for Detecting Hidden Defects in Seeds of Woody Forest Species and Other Types of Vascular Plants
Modern hardware solutions used to obtain digital X-ray images of seeds are characterized. The main visualization methods and techniques for analyzing digital X-ray images of seeds are described. We revealed and assessed hidden defects of seed samples of the studied species such as Siberian cedar pin...
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Published in: | Technical physics 2020-02, Vol.65 (2), p.324-332 |
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Main Authors: | , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Modern hardware solutions used to obtain digital X-ray images of seeds are characterized. The main visualization methods and techniques for analyzing digital X-ray images of seeds are described. We revealed and assessed hidden defects of seed samples of the studied species such as Siberian cedar pine (
Pinus sibirica
Du Tour), Korean cedar pine (
P. koraiensis
Siebold & Zucc.), sugar corn (
Zea mays
L.), cucumber (
Cucumis sativum
L.), and pepper (
Capsicum annuum
L.) by microfocus X-ray radiography in combination with automatic analysis of digital X-ray images. Empty-grain and partially full-grain seeds have lower values of the “average brightness” of X-ray diffraction patterns. A comparative assessment of X-ray indicators and germination capacity of seedlings as integrated indicators for assessing the biological usefulness of seeds is performed. |
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ISSN: | 1063-7842 1090-6525 |
DOI: | 10.1134/S1063784220020024 |