Detail publikace

NEURAL NETWORK BASED SEGMENTATION OF COLOR IMAGES FOR SKIN DETECTION

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

1

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"
}