Detail publikace

Multispectral Imaging Applications in Agriculture and Agro-Food Product Quality and Safety Control

JANOUŠEK, J. MARCOŇ, P.

Originální název

Multispectral Imaging Applications in Agriculture and Agro-Food Product Quality and Safety Control

Anglický název

Multispectral Imaging Applications in Agriculture and Agro-Food Product Quality and Safety Control

Jazyk

en

Originální abstrakt

The paper deals with multispectral imaging, which is based on capturing image data at specific wavelengths across the electromagnetic spectrum. We show examples of multispectral imaging applications in agriculture and the quality and safety of food products. For this purpose, we use multispectral camera with global closures for distortion-free images, including narrow-band red, green, and blue bands for RGB color images that are aligned to all visible and invisible bands and vegetation indexes during processing. The obtained images were processed by Matlab.

Anglický abstrakt

The paper deals with multispectral imaging, which is based on capturing image data at specific wavelengths across the electromagnetic spectrum. We show examples of multispectral imaging applications in agriculture and the quality and safety of food products. For this purpose, we use multispectral camera with global closures for distortion-free images, including narrow-band red, green, and blue bands for RGB color images that are aligned to all visible and invisible bands and vegetation indexes during processing. The obtained images were processed by Matlab.

Dokumenty

BibTex


@inproceedings{BUT159503,
  author="Jiří {Janoušek} and Petr {Marcoň}",
  title="Multispectral Imaging Applications in Agriculture and Agro-Food Product Quality and Safety Control",
  annote="The paper deals with multispectral imaging, which is based on capturing image data at specific wavelengths across the electromagnetic spectrum. We show examples of multispectral imaging applications in agriculture and the quality and safety of food products. For this purpose, we use multispectral camera with global closures for distortion-free images, including narrow-band red, green, and blue bands for RGB color images that are aligned to all visible and invisible bands and vegetation indexes during processing. The obtained images were processed by Matlab.",
  address="MU Brno",
  booktitle="18th International Symposium Forage Conservation",
  chapter="159503",
  howpublished="print",
  institution="MU Brno",
  year="2019",
  month="august",
  pages="204--207",
  publisher="MU Brno",
  type="conference paper"
}