COMPARISON OF NEURAL NETWORKS FOR SKIN SEGMENTATION IN COLOR IMAGES
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F13%3APU104781" target="_blank" >RIV/00216305:26220/13:PU104781 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
COMPARISON OF NEURAL NETWORKS FOR SKIN SEGMENTATION IN COLOR IMAGES
Original language description
This paper describes comparison of results of skin pixels segmentation in color images. Two types of artificial neural networks and three color spaces were used in this work. The neural networks selected in this study, Reduced Coulomb Energy (RCE) and cosine reformulated radial basis function (RBF) neural networks, have similar structure and both divide the space using multi-dimensional spheres. Since this work focuses on segmentation based on color, three color spaces frequently used in image processing (HSL, YCbCr and L*a*b*) were tested for their suitability to represent skin colors.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JB - Sensors, detecting elements, measurement and regulation
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
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 2013
ISBN
978-80-214-4755-4
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
203-208
Publisher name
Neuveden
Place of publication
Koperníkova 4362/21, Brno, Czech Republic
Event location
Brno University of Technology
Event date
Jun 26, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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