Publication detail

Numerical Methods And Image Processing Techniques for Melissopalynological Honey Analysis

HRABEC, P. POSPIECH, M. JAVŮRKOVÁ, Z. LJASOVSKÁ, S. TREMLOVÁ, B.

English title

Numerical Methods And Image Processing Techniques for Melissopalynological Honey Analysis

Type

journal article in Scopus

Language

en

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

English 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 in English

morphometry; Bright field microscopy; extended depth of focus; length/width ratio pollen

Released

28.01.2021

ISSN

1338-0230

Volume

15

Number

1

Pages from–to

58–65

Pages count

7

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",
  year="2021",
  volume="15",
  number="1",
  month="January",
  pages="58--65",
  issn="1338-0230"
}