Detail publikace

Control of laboratory processes using modern methods of image processing

KIAC, M.

Originální název

Control of laboratory processes using modern methods of image processing

Typ

seznam tiskových chyb

Jazyk

angličtina

Originální abstrakt

The thesis deals with the image processing and detection of specific objects in the image. The main objective of this work is to implement a algoritm for the control of pipetting processes based on images from the camera. In this thesis is used for image processing an open source computer vision library OpenCV and for pipette detection is used convolutional neural network. The proposed solution is still in development process. The following article describes the issue and the results of the thesis solution.

Klíčová slova

image processing, OpenCV, cnn, dnn, convolutional neural network, application, object detection, pipette, microplate, wells, laboratory processes

Autoři

KIAC, M.

Vydáno

26. 6. 2020

Nakladatel

Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních

Místo

Brno

Strany od

335

Strany do

339

Strany počet

5

URL

http://www.feec.vutbr.cz/conf/EEICT/archiv/sborniky/EEICT_2020_sbornik_1.pdf

BibTex

@misc{BUT164352,
  author="Martin {Kiac}",
  title="Control of laboratory processes using modern methods of image processing",
  year="2020",
  pages="335--339",
  publisher="Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních",
  address="Brno",
  url="http://www.feec.vutbr.cz/conf/EEICT/archiv/sborniky/EEICT_2020_sbornik_1.pdf",
  note="errata"
}