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Image Processing on Raspberry Pi in Matlab

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F15%3APU119440" target="_blank" >RIV/00216305:26220/15:PU119440 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.humusoft.cz/archive/events/tcp2015" target="_blank" >http://www.humusoft.cz/archive/events/tcp2015</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Image Processing on Raspberry Pi in Matlab

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    JB - Sensors, detecting elements, measurement and regulation

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2015

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Advances in Intelligent Systems and Computing

  • ISSN

    2194-5357

  • e-ISSN

  • Volume of the periodical

    Neuveden

  • Issue of the periodical within the volume

    378

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    63

  • Pages from-to

    25-25

  • UT code for WoS article

  • EID of the result in the Scopus database