Color Recognition Based on C4.5 Decision Tree Algorithm

DOI

10.2991/ceis-16.2016.31How to use a DOI?

Keywords

C4.5 algorithm; color recognition; HSV

Abstract

This paper presents an approach to color recognition using C4.5 decision tree algorithm. Before being employed to identify the color, the C4.5 decision tree is trained with sample images under scenes of varied background and illumination. The experimental results show the effectiveness and robustness of the method for color segmentation under the changing environments.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Chao Chen
AU  - He-Gen Xu
PY  - 2016/11
DA  - 2016/11
TI  - Color Recognition Based on C4.5 Decision Tree Algorithm
BT  - Proceedings of the 2016 International Conference on Computer Engineering and Information Systems
PB  - Atlantis Press
SP  - 158
EP  - 163
SN  - 2352-538X
UR  - https://doi.org/10.2991/ceis-16.2016.31
DO  - 10.2991/ceis-16.2016.31
ID  - Chen2016/11
ER  -