An Image Segmentation Algorithm Based on Gray Bit Plane for Flame
Xing Deng, Jinlan Li, Fujian Feng, Lin Wang, Zhongming Yu
Available Online December 2016.
- https://doi.org/10.2991/iceeecs-16.2016.76How to use a DOI?
- Fire detect;OHTA color space;gray bit plane;image segmentation
- 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.
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 -