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

Anglický název

NEURAL NETWORK BASED SEGMENTATION OF COLOR IMAGES FOR SKIN DETECTION

Jazyk

en

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.

Anglický 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.

Dokumenty

BibTex


@inproceedings{BUT93438,
  author="Tomáš {Hynčica} and Václav {Jirsík}",
  title="NEURAL NETWORK BASED SEGMENTATION OF COLOR IMAGES FOR SKIN DETECTION",
  annote="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.",
  address="Nosová Hana, Koperníkova 4362/21, Brno,",
  booktitle="MENDEL 2012 18th Intermational Conference on Soft Computing",
  chapter="93438",
  edition="1",
  howpublished="print",
  institution="Nosová Hana, Koperníkova 4362/21, Brno,",
  year="2012",
  month="june",
  pages="251--255",
  publisher="Nosová Hana, Koperníkova 4362/21, Brno,",
  type="conference paper"
}