Volume 8 Number 8 (Aug. 2013)
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JSW 2013 Vol.8(8): 1897-1905 ISSN: 1796-217X
doi: 10.4304/jsw.8.8.1897-1905

Forest Fire Detection Algorithm Based on Digital Image

Rui Chen1, Yuanyuan Luo1, Mohanmad Reza Alsharif2
1School of Information Science & Engineering Central South University, Changsha 410004,Hunan Province, China
2Department of Information Engineering, Faculty of Engineering, University of the Ryukyus, Okinawa, Japan

Abstract—A series of computer vision-based fire detection algorithms is proposed in this paper. These algorithms can be used in parallel with conventional fire detection systems to reduce false alarms. They can also be deployed as a standalone system to detect fire combined with a video acquisition device. This paper chiefly discussed the segmentation problem. It adopted the L*a*b*, YCbCr color space and kmeans clustering algorithm to isolate the forest fire detection. This algorithm is characterized by high stabilization and versatility, improves fire detection in real time and accurate, and has been used in the forest fires detecting. And this performed well in experiments.

Index Terms—YCbCr color space, K-means clustering algorithm, Fire detection system.


Cite: Rui Chen, Yuanyuan Luo, Mohanmad Reza Alsharif, "Forest Fire Detection Algorithm Based on Digital Image," Journal of Software vol. 8, no. 8, pp. 1897-1905, 2013.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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