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Methods of Image Processing and Computer Vision

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F16%3A00533176" target="_blank" >RIV/60162694:G43__/16:00533176 - isvavai.cz</a>

  • Result on the web

    <a href="http://vavtest.unob.cz/registr" target="_blank" >http://vavtest.unob.cz/registr</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Methods of Image Processing and Computer Vision

  • Original language description

    The article contains the overview of the most widely used methods for image processing, brief description and adumbration of possible utilization. In the introduction there are described general assumptions, advantages and disadvantages of each method. Methods are verified on suitable demonstrational tasks. Based on this tasks and results general logical models were created. Tested and described image processing methods are: shape (edge) detection, blobs detection, template matching, feature matching, using linear classifiers and artificial neural networks.

  • Czech name

  • Czech description

Classification

  • Type

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

  • CEP classification

    KA - Militarism

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Cybernetic Letters

  • ISSN

    1802-3525

  • e-ISSN

  • Volume of the periodical

    2016-I

  • Issue of the periodical within the volume

    30.11.2016

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    5

  • Pages from-to

  • UT code for WoS article

  • EID of the result in the Scopus database