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HRABEC, P. POSPIECH, M. JAVŮRKOVÁ, Z. LJASOVSKÁ, S. TREMLOVÁ, B.
Original Title
Numerical Methods And Image Processing Techniques for Melissopalynological Honey Analysis
Type
journal article in Scopus
Language
English
Original Abstract
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
Keywords
morphometry; Bright field microscopy; extended depth of focus; length/width ratio pollen
Authors
HRABEC, P.; POSPIECH, M.; JAVŮRKOVÁ, Z.; LJASOVSKÁ, S.; TREMLOVÁ, B.
Released
28. 1. 2021
ISBN
1338-0230
Periodical
Potravinárstvo
Year of study
15
Number
1
State
Slovak Republic
Pages from
58
Pages to
65
Pages count
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" }