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

Anglický název

COMPARISON OF NEURAL NETWORKS FOR SKIN SEGMENTATION IN COLOR IMAGES

Jazyk

en

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.

Anglický 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.

Dokumenty

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"
}