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NEURAL NETWORK BASED SEGMENTATION OF COLOR IMAGES FOR SKIN DETECTION

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F12%3APU99440" target="_blank" >RIV/00216305:26220/12:PU99440 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    NEURAL NETWORK BASED SEGMENTATION OF COLOR IMAGES FOR SKIN DETECTION

  • Original language description

    Skin segmentation is an important task in image processing and computer vision. Since there are many problems (for example different lighting conditions, different skin colors across the population and so on) it is necessary to use a robust and effectivedetection method. At first the proper color representation (color space) must be chosen. The description of four color spaces frequently used in image processing (RGB, HSL, YCbCr and L*a*b*) is provided in this paper. Also their suitability for representing skin colors is evaluated. For skin pixel detection a RCE (reduced Coulomb energy) neural network is used.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JB - Sensors, detecting elements, measurement and regulation

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA102%2F09%2F1897" target="_blank" >GA102/09/1897: Safety of Car Transportation</a><br>

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2012

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    MENDEL 2012 18th Intermational Conference on Soft Computing

  • ISBN

    978-80-214-4540-6

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    251-255

  • Publisher name

    Nosová Hana, Koperníkova 4362/21, Brno,

  • Place of publication

    Brno

  • Event location

    Brno University of Technology

  • Event date

    Jun 27, 2012

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article