Publication detail

Utilization of modern image processing methods in control of laboratory processes

KIAC, M.

Original Title

Utilization of modern image processing methods in control of laboratory processes

English Title

Utilization of modern image processing methods in control of laboratory processes

Type

errata

Language

en

Original Abstract

The thesis deals with the processing and detection of specific objects in the image on the Android mobile platform. The main objective of this work is to implement a mobile application for the control of pipetting processes based on images from a camera of a mobile device. In this thesis is used for image processing an open source computer vision library OpenCV. The proposed solution was subsequently implemented on the Android platform using the Android Studio development environment. The following article describes the issue and the results of the thesis solution.

English abstract

The thesis deals with the processing and detection of specific objects in the image on the Android mobile platform. The main objective of this work is to implement a mobile application for the control of pipetting processes based on images from a camera of a mobile device. In this thesis is used for image processing an open source computer vision library OpenCV. The proposed solution was subsequently implemented on the Android platform using the Android Studio development environment. The following article describes the issue and the results of the thesis solution.

Keywords

Android, platform, OpenCV, library, Android Studio, application, image processing, object detection, pipette, microplate

Released

01.05.2019

Publisher

Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních

Location

Brno

Pages from

427

Pages to

432

Pages count

4

URL

Documents

BibTex


@misc{BUT158417,
  author="Martin {Kiac}",
  title="Utilization of modern image processing methods in control of laboratory processes",
  annote="The thesis deals with the processing and detection of specific objects in the image on the
Android mobile platform. The main objective of this work is to implement a mobile application for
the control of pipetting processes based on images from a camera of a mobile device. In this thesis
is used for image processing an open source computer vision library OpenCV. The proposed solution
was subsequently implemented on the Android platform using the Android Studio development
environment. The following article describes the issue and the results of the thesis solution.",
  address="Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních",
  chapter="158417",
  howpublished="online",
  institution="Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních",
  year="2019",
  month="may",
  pages="427--432",
  publisher="Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních",
  type="errata"
}