Numerical methods and image processing techniques for melissopalynological honey analysis

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/00216305:26210/21:PU144077

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Numerical methods and image processing techniques for melissopalynological honey analysis

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Numerical methods and image processing techniques for melissopalynological honey analysis

Popis výsledku anglicky

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.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

40101 - Agriculture

Projekt

<a href="/cs/project/QK1920344" target="_blank" >QK1920344: Ověření autenticity medu pomocí analýzy pylových zrn.</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Potravinárstvo

ISSN

1338-0230

e-ISSN

—

Svazek periodika

15

Číslo periodika v rámci svazku

28.1.2021

Stát vydavatele periodika

SK - Slovenská republika

Počet stran výsledku

8

Strana od-do

58-65

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85100988121