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HYNČICA, T. JIRSÍK, V.
Original Title
NEURAL NETWORK BASED SEGMENTATION OF COLOR IMAGES FOR SKIN DETECTION
Type
conference paper
Language
English
Original Abstract
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.
Keywords
RCE neural network, color spaces, skin segmentation
Authors
HYNČICA, T.; JIRSÍK, V.
RIV year
2012
Released
27. 6. 2012
Publisher
Nosová Hana, Koperníkova 4362/21, Brno,
Location
Brno
ISBN
978-80-214-4540-6
Book
MENDEL 2012 18th Intermational Conference on Soft Computing
Edition
1
Edition number
1803-3814
Periodical
Mendel Journal series
State
Czech Republic
Pages from
251
Pages to
255
Pages count
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" }