Detail publikace

Image Processing on Raspberry Pi in Matlab

HORÁK, K. ŽALUD, L.

Originální název

Image Processing on Raspberry Pi in Matlab

Anglický název

Image Processing on Raspberry Pi in Matlab

Jazyk

en

Originální abstrakt

This paper serves as an introduction to using image processing methods on a Raspberry Pi platform via Simulink in Matlab. We have designed a cheap framework for fast image processing in real-time including feature extraction and image transformation methods. In the paper a several selected methods frequently used not only in robotics are implemented and tested on the Raspberry Pi 2 equipped with a native camera board. Algorithms for edge, corner and line detection have been implemented by using Simulink with the Computer Vision System Toolbox and other in-build tools.

Anglický abstrakt

This paper serves as an introduction to using image processing methods on a Raspberry Pi platform via Simulink in Matlab. We have designed a cheap framework for fast image processing in real-time including feature extraction and image transformation methods. In the paper a several selected methods frequently used not only in robotics are implemented and tested on the Raspberry Pi 2 equipped with a native camera board. Algorithms for edge, corner and line detection have been implemented by using Simulink with the Computer Vision System Toolbox and other in-build tools.

Dokumenty

BibTex


@inproceedings{BUT118023,
  author="Karel {Horák} and Luděk {Žalud}",
  title="Image Processing on Raspberry Pi in Matlab",
  annote="This paper serves as an introduction to using image processing methods on a Raspberry Pi platform via Simulink in Matlab. We have designed a cheap framework for fast image processing in real-time including feature extraction and image transformation methods. In the paper a several selected methods frequently used not only in robotics are implemented and tested on the Raspberry Pi 2 equipped with a native camera board. Algorithms for edge, corner and line detection have been implemented by using Simulink with the Computer Vision System Toolbox and other in-build tools.",
  address="University of Chemistry and Technology",
  booktitle="23rd Annual Conference Proceedings of Technical Computing Prague 2015",
  chapter="118023",
  howpublished="print",
  institution="University of Chemistry and Technology",
  year="2015",
  month="november",
  pages="25--25",
  publisher="University of Chemistry and Technology",
  type="conference paper"
}