A New Method of Color Pattern Recognition Based on Fuzzy Clustering

DOI

10.2991/icacie-16.2016.31How to use a DOI?

Keywords

Online Monitoring, Color, Fuzzy Pattern Recognition, Connected Graph Traversal

Abstract

The rapid development of online image monitoring has put forward more and more urgent needs for the application of computer image recognition technology. According to the design of Decision Support System (DSS) and the characteristics of online image monitoring, this paper analyzes the advantages of applying fuzzy pattern recognition technique to online monitoring image color identification and classification, and proposes a new method. Firstly, the algorithm acquires all kinds of identification color center based on sample learning sets given by experts and introduces fuzzy c-means clustering method and connected graph traversal technique. On the basis of identification color membership of pixel's corresponding color pattern and color's no-mutation rules, this paper comprehensively analyzes the whole image to form each color pattern and obtain the color identification results of each area. This method is prevalently instructional to similar color automatic identification.

Copyright

© 2016, 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  - Yi Zhang
AU  - Feng Zhang
AU  - Bingquan Zhu
AU  - Zhongming Xiang
AU  - Lv Tang
PY  - 2016/10
DA  - 2016/10
TI  - A New Method of Color Pattern Recognition Based on Fuzzy Clustering
BT  - Proceedings of the 2016 International Conference on Automatic Control and Information Engineering
PB  - Atlantis Press
SP  - 135
EP  - 138
SN  - 2352-5401
UR  - https://doi.org/10.2991/icacie-16.2016.31
DO  - 10.2991/icacie-16.2016.31
ID  - Zhang2016/10
ER  -