TESTING RCE NEURAL NETWORK FOR SKIN IMAGE SEGMENTATION
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F12%3APU98255" target="_blank" >RIV/00216305:26220/12:PU98255 - 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
TESTING RCE NEURAL NETWORK FOR SKIN IMAGE SEGMENTATION
Original language description
This paper describes my work with testing usability of a reduced Coulomb energy (RCE) neural network for skin segmentation task. Skin segmentation is an important task in computer vision. I describe three color spaces we used for skin segmentation (RGB,HSL and YCbCr). Also I briefly describe the RCE neural network. The segmentation results are described in the final section.
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
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
Proceedings of the 18th Conference STUDENT EEICT 2012 Volume 3
ISBN
978-80-214-4462-1
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
111-115
Publisher name
LITERA Brno
Place of publication
Brno
Event location
Brno
Event date
Apr 26, 2012
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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