An Image Segmentation Algorithm Based on Gray Bit Plane for Flame

DOI

10.2991/iceeecs-16.2016.76How to use a DOI?

Keywords

Fire detect;OHTA color space;gray bit plane;image segmentation

Abstract

Flame region judgment is an important part of fire detection system; meanwhile the flame of intelligent monitoring system also has important practical significance to national fire control safety. Therefore, this article puts forward the flame image segmentation method based on gray level bit plane. Firstly, by studying the distribution of flame image in OHTA color space, we found that it can accurately segment the flame area by using the method of the gray level bit plane for component image in OHTA color space. The experiments results show that the algorithm in different scenarios for segmenting flame has a good effectiveness and robustness.

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  - Xing Deng
AU  - Jinlan Li
AU  - Fujian Feng
AU  - Lin Wang
AU  - Zhongming Yu
PY  - 2016/12
DA  - 2016/12
TI  - An Image Segmentation Algorithm Based on Gray Bit Plane for Flame
BT  - Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
PB  - Atlantis Press
SP  - 365
EP  - 369
SN  - 2352-538X
UR  - https://doi.org/10.2991/iceeecs-16.2016.76
DO  - 10.2991/iceeecs-16.2016.76
ID  - Deng2016/12
ER  -