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Proceedings Paper

The technology of forest fire detection based on infrared image
Author(s): Zhi-guo Wu; Guo-juan Liu; Ming-jia Wang; Suo-jian Wang
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Paper Abstract

According to infrared imaging features of forest fire, we use image processing technology which is conducive to early detection and prevention of forest fires. We use image processing technology based on infrared imaging features of forest fire which is conducive to early detection and prevention of forest fires. In order to the timeliness and accuracy of fire detection, this paper proposes a forest fire detection method based on infrared image technology. We take gray histogram analysis to collected Cruising image. The image which will be detected is segmented by the adaptive dynamic threshold. Then the suspected ignitions are extracted in the image after segmentation. The ignition of forest fire which form image in the infrared image is almost circular. We use the circular degree of suspected ignition as the decision basis of the fire in the infrared image. Through the analysis of position correlation which is the same suspected ignition between adjacent frames, we judge whether there is a fire in the image. In order to verify the effectiveness of the method, we adopt image sequences of forest fire to do experiment. The experimental results show that the proposed algorithm under the conditions of different light conditions and complex backgrounds, which can effectively eliminate distractions and extract the fire target. The accuracy fire detection rate is above 95 percent. All fire can be detected. The method can quickly identify fire flame and high-risk points of early fire. The structure of method is clear and efficient which processing speed is less than 25 frames per second. So it meets the application requirement of real-time processing.

Paper Details

Date Published: 11 September 2013
PDF: 5 pages
Proc. SPIE 8907, International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications, 89072C (11 September 2013); doi: 10.1117/12.2032967
Show Author Affiliations
Zhi-guo Wu, Changchun Institute of Optics, Fine Mechanics and Physics (China)
Guo-juan Liu, Beijing Institute of Space Long March Vehicle (China)
Ming-jia Wang, Changchun Institute of Optics, Fine Mechanics and Physics (China)
Suo-jian Wang, Nanjing Institute of Electronics Technology (China)


Published in SPIE Proceedings Vol. 8907:
International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications
Haimei Gong; Zelin Shi; Qian Chen; Jin Lu, Editor(s)

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