Publication detail

COMPARISON OF NEURAL NETWORKS FOR SKIN SEGMENTATION IN COLOR IMAGES

HYNČICA, T. JIRSÍK, V.

Original Title

COMPARISON OF NEURAL NETWORKS FOR SKIN SEGMENTATION IN COLOR IMAGES

Czech Title

Porovnání neuronových sítí pro segmentaci kůže v barevných snímcích

English Title

COMPARISON OF NEURAL NETWORKS FOR SKIN SEGMENTATION IN COLOR IMAGES

Type

conference paper

Language

en

Original Abstract

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 abstract

Tento článek popisuje srovnání výsledků segmentace kůže pixelů v barevný snímcích. Dva typy neuronových sítí a tři barevné prostory byly použity v této práci. Dva typy neuronových sítí (RCE a RBF) byly použity v této práci. Protože tato práce je zaměřena na segmentaci založené na barvě, tři barevné prostory často používané ve zpracování obrazu (HSL, YCbCr a L * a * b *) byly testovány na jejich vhodnost reprezentovat barvy pleti.

English abstract

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.

Keywords

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

RIV year

2013

Released

26.06.2013

Location

Koperníkova 4362/21, Brno, Czech Republic

ISBN

978-80-214-4755-4

Book

MENDEL 2013

Pages from

203

Pages to

208

Pages count

6

BibTex 


@inproceedings{BUT101180,
  author="Tomáš {Hynčica} and Václav {Jirsík}",
  title="COMPARISON OF NEURAL NETWORKS FOR SKIN SEGMENTATION IN COLOR IMAGES",
  annote="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.",
  booktitle="MENDEL 2013",
  chapter="101180",
  howpublished="print",
  year="2013",
  month="june",
  pages="203--208",
  type="conference paper"
}