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Identification of Sky in Image Data

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F11%3APU91443" target="_blank" >RIV/00216305:26220/11:PU91443 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Identification of Sky in Image Data

  • Original language description

    This paper deals with a variety of ways how to identify a presence of a sky in images. In this paper results presenting how to identify sky in an image using 1) the most accurate method and 2) the human-readable method. For his purpose several colour models were used and examined. In the end of the paper the most accurate results and their respective methods are mentioned in respect to different classification algorithms used.

  • Czech name

  • Czech description

Classification

  • Type

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

  • CEP classification

    BD - Information theory

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/FR-TI2%2F679" target="_blank" >FR-TI2/679: *Media-informatics system supporting advanced multimedia services</a><br>

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2011

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Elektrorevue - Internetový časopis (http://www.elektrorevue.cz)

  • ISSN

    1213-1539

  • e-ISSN

  • Volume of the periodical

    2011

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    7

  • Pages from-to

    1-7

  • UT code for WoS article

  • EID of the result in the Scopus database