Numerical methods and image processing techniques for melissopalynological honey analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62157124%3A16270%2F21%3A43879451" target="_blank" >RIV/62157124:16270/21:43879451 - isvavai.cz</a>
Alternative codes found
RIV/00216305:26210/21:PU144077
Result on the web
<a href="https://potravinarstvo.com/journal1/index.php/potravinarstvo/article/view/1517/1683" target="_blank" >https://potravinarstvo.com/journal1/index.php/potravinarstvo/article/view/1517/1683</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5219/1517" target="_blank" >10.5219/1517</a>
Alternative languages
Result language
angličtina
Original language name
Numerical methods and image processing techniques for melissopalynological honey analysis
Original language description
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 use of image analysis programmes. The automatic analysis is impeded by 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 normal (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, statistically significant difference was observed in the characteristics of pollen grains between the compared NF and EDF methods.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
40101 - Agriculture
Result continuities
Project
<a href="/en/project/QK1920344" target="_blank" >QK1920344: Assessment of honey authenticity by pollen grain analysis.</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Potravinárstvo
ISSN
1338-0230
e-ISSN
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Volume of the periodical
15
Issue of the periodical within the volume
28.1.2021
Country of publishing house
SK - SLOVAKIA
Number of pages
8
Pages from-to
58-65
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85100988121