Přístupnostní navigace
E-přihláška
Vyhledávání Vyhledat Zavřít
Detail publikace
HYNČICA, T. JIRSÍK, V.
Originální název
NEURAL NETWORK BASED SEGMENTATION OF COLOR IMAGES FOR SKIN DETECTION
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
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 effective detection 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.
Klíčová slova
RCE neural network, color spaces, skin segmentation
Autoři
HYNČICA, T.; JIRSÍK, V.
Rok RIV
2012
Vydáno
27. 6. 2012
Nakladatel
Nosová Hana, Koperníkova 4362/21, Brno,
Místo
Brno
ISBN
978-80-214-4540-6
Kniha
MENDEL 2012 18th Intermational Conference on Soft Computing
Edice
1
Číslo edice
ISSN
1803-3814
Periodikum
Mendel Journal series
Stát
Česká republika
Strany od
251
Strany do
255
Strany počet
5
BibTex
@inproceedings{BUT93438, author="Tomáš {Hynčica} and Václav {Jirsík}", title="NEURAL NETWORK BASED SEGMENTATION OF COLOR IMAGES FOR SKIN DETECTION", booktitle="MENDEL 2012 18th Intermational Conference on Soft Computing", year="2012", series="1", journal="Mendel Journal series", number="1", pages="251--255", publisher="Nosová Hana, Koperníkova 4362/21, Brno,", address="Brno", isbn="978-80-214-4540-6", issn="1803-3814" }