Recognition Method for Abnormal Water Surface Based on SOM

DOI

10.2991/mic-15.2015.13How to use a DOI?

Keywords

Background subtraction; Color moments; Color histogram; Clustering; Recognition.

Abstract

Abnormal Water Surface monitoring and recognition technique still is the research focus at present. In this paper, we first establish a background model with Gaussian Mixture Model, achieve the abnormal region quickly using background difference method, then, a improve algorithm of color moment calculation is used to extract the abnormal features, finally the SOM model is used to cluster the characteristics of the data, the data classifier is established.

Copyright

© 2015, 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  - Zuo Jianjun
AU  - Wu Youfu
PY  - 2015/08
DA  - 2015/08
TI  - Recognition Method for Abnormal Water Surface Based on SOM
BT  - Proceedings of the 2nd International Conference on Modelling, Identification and Control
PB  - Atlantis Press
SP  - 60
EP  - 63
SN  - 1951-6851
UR  - https://doi.org/10.2991/mic-15.2015.13
DO  - 10.2991/mic-15.2015.13
ID  - Jianjun2015/08
ER  -