Detail publikace

COMPARISON OF NEURAL NETWORKS FOR SKIN SEGMENTATION IN COLOR IMAGES

HYNČICA, T. JIRSÍK, V.

Originální název

COMPARISON OF NEURAL NETWORKS FOR SKIN SEGMENTATION IN COLOR IMAGES

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

RBF neural network, RCE neural network, color spaces, skin segmentation

Autoři

HYNČICA, T.; JIRSÍK, V.

Rok RIV

2013

Vydáno

26. 6. 2013

Místo

Koperníkova 4362/21, Brno, Czech Republic

ISBN

978-80-214-4755-4

Kniha

MENDEL 2013

Strany od

203

Strany do

208

Strany počet

6

BibTex

@inproceedings{BUT101180,
  author="Tomáš {Hynčica} and Václav {Jirsík}",
  title="COMPARISON OF NEURAL NETWORKS FOR SKIN SEGMENTATION IN COLOR IMAGES",
  booktitle="MENDEL 2013",
  year="2013",
  pages="203--208",
  address="Koperníkova 4362/21, Brno, Czech Republic",
  isbn="978-80-214-4755-4"
}