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HRABEC, P. POSPIECH, M. JAVŮRKOVÁ, Z. LJASOVSKÁ, S. TREMLOVÁ, B.
Originální název
Numerical Methods And Image Processing Techniques for Melissopalynological Honey Analysis
Typ
článek v časopise ve Scopus, Jsc
Jazyk
angličtina
Originální abstrakt
Pollen analysis is a method used for verification of the botanical and geographical honey origin. Currently, much effort is being made to introduce automated systems with the use of image analysis programs. The automatic analysis is impeded by the insufficient depth of field of objects when using a light microscope, however, this can be avoided by using image reconstruction from images obtained from different focal planes. In this method, testing was performed on the normal focus (NF) and extended-depth-of-focus (EDF) images. These two methods were compared and statistically evaluated. The number of pollen grains and selected morphometric characteristics were compared. For EDF images, a higher number of pollen grains was obtained for the analysis, and except for the length/width ratio, a statistically significant difference was observed in the characteristics of pollen grains between the compared NF and EDF methods
Klíčová slova
morphometry; Bright field microscopy; extended depth of focus; length/width ratio pollen
Autoři
HRABEC, P.; POSPIECH, M.; JAVŮRKOVÁ, Z.; LJASOVSKÁ, S.; TREMLOVÁ, B.
Vydáno
28. 1. 2021
ISSN
1338-0230
Periodikum
Potravinárstvo
Ročník
15
Číslo
1
Stát
Slovenská republika
Strany od
58
Strany do
65
Strany počet
7
URL
https://potravinarstvo.com/journal1/index.php/potravinarstvo/article/view/1517
BibTex
@article{BUT177306, author="Pavel {Hrabec} and Matej {Pospiech} and Zdeňka {Javůrková} and Simona {Ljasovská} and Bohuslava {Tremlová}", title="Numerical Methods And Image Processing Techniques for Melissopalynological Honey Analysis", journal="Potravinárstvo", year="2021", volume="15", number="1", pages="58--65", doi="10.5219/1517", issn="1338-0230", url="https://potravinarstvo.com/journal1/index.php/potravinarstvo/article/view/1517" }