The Study of Forest Fire Color Image Segmentation

Abstract:

Combined with the composition characteristics of forest fire image background when the forest fire occurred during different time periods of night and day, different image segmentation methods were applied to the forest fire color images of different time periods respectively, which could improve the efficiency of image processing. Meanwhile, application of H and S components from HSV color space, the strategy on color image segmentation which processed the segmentation processing to forest fire color images with complicated background was proposed combined with Otsu algorithm. The results of simulation experiment showed that the above-mentioned segmentation methods were obtained satisfactory segmentation effects when the segmentation on forest fire color images during different time periods of night and day were processed respectively. And also application of Otsu algorithm based on HSV color model, the forest fire image segmentation occurred in the daytime was processed, which overcame the interference factors of light and smoke, as well as the shortage of noise sensibility due to Otsu algorithm.

• Periodical: Key Engineering Materials (Volumes 474-476)
• Pages: 2140-2145
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.474-476.2140
• Online since: April 2011
• Authors: Si Li, Hong E Ren
• Keywords: HSV, Image Segmentation, Otsu

References

[1] LI Jian-quan, LIU Shi-rong, LI Zhi-yong, YI Hao-ruo. Study on Controling Strategy for Forest Fire under the Global Warm Climate. J. Anhui Agriculture, 20: 243-246(2009).

[2] Tang Hong. Research of the Image Processing Technology in the Fire Alarm Filed. J. Science Mosaic, 8: 114-115(2008).

[3] Duan Yue, Yuan Chang-ming. Digital Image Processing of Dynamical Flame in Fire Detection. J. Journal of China University of Metrology, 20(1): 55-58(2009).

[4] Liu Yuan-jun, Zhao Min. Infrared Image segmentation Algorithm of Fire in Field. J. Journal of Qingdao University, 24(1): 8-13(2009).

[5] Cui Bao-xia, Qiao Ji-bin. Forest Flame Image Segmentation Method Based on Cr, Cb Color Space. J. Journal of Shenyang University of Technology, 31(1): 89-92(2009).

[6] Gao Na, Dong Ai-hua. Study on the Mrthod of Flame Image Segmentation in Fire Detection. J. Journal of Henan Polytechnic University(Natrual Science), 27(1): 17-20(2008).

[7] Chang Yu-chou. Color Image Segmentation with Application on Content-Based Image Retrieval. D. 20060101(2005).

[8] Nevatia. A Color Edge Detecter and Its Use in Scence Segmentation. IEEE Transactions on System. J. Man and Cybernetics, 7(11): 820-826(1977).

DOI: 10.1109/tsmc.1977.4309631