Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)

An Image Segmentation Algorithm Based on Gray Bit Plane for Flame

Authors
Xing Deng, Jinlan Li, Fujian Feng, Lin Wang, Zhongming Yu
Corresponding Author
Xing Deng
Available Online December 2016.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
Part of series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
978-94-6252-265-7
ISSN
2352-538X
DOI
https://doi.org/10.2991/iceeecs-16.2016.76How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/iceeecs-16.2016.76
DO  - https://doi.org/10.2991/iceeecs-16.2016.76
ID  - Deng2016/12
ER  -