• Laser & Optoelectronics Progress
  • Vol. 56, Issue 16, 161012 (2019)
Yong Tan1, Linbo Xie1、*, Hongwei Feng2, Li Peng1, and Zhengdao Zhang1
Author Affiliations
  • 1 School of Internet of Things Engineering, Jiangnan University, Wuxi, Jiangsu 214122, China
  • 2 Wuxi Institute of Technology, Wuxi, Jiangsu 214122, China
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    DOI: 10.3788/LOP56.161012 Cite this Article Set citation alerts
    Yong Tan, Linbo Xie, Hongwei Feng, Li Peng, Zhengdao Zhang. Flame Detection Algorithm Based on Image Processing Technology[J]. Laser & Optoelectronics Progress, 2019, 56(16): 161012 Copy Citation Text show less
    References

    [1] Li Y, Zhang G S, Xu Y. Stability of IUR76-I/IUR76-II test systems for flame detectors and related national standards[J]. Laser & Optoelectronics Progress, 47, 060401(2010).

    [2] Hong W, Li C F. Flame detection method based on regional fully convolutional networks with residual network[J]. Laser & Optoelectronics Progress, 55, 041011(2018).

    [3] Luan F J, Li Y, Liu Z Q. Multi-feature flame detection based on video image[J]. Measurement & Control Technology, 34, 27-30(2015).

    [4] Borges P V K, Izquierdo E. A probabilistic approach for vision-based fire detection in videos[J]. IEEE Transactions on Circuits and Systems for Video Technology, 20, 721-731(2010).

    [5] Truong T X, Kim J M. Fire flame detection in video sequences using multi-stage pattern recognition techniques[J]. Engineering Applications of Artificial Intelligence, 25, 1365-1372(2012).

    [6] Töreyin B U. Dedeo lu Y, Çetin A E. Flame detection in video using hidden Markov models . [C]∥IEEE International Conference on Image Processing 2005, September 14, 2005, Genova, Italy. New York: IEEE, 8845998(2005).

    [7] Rong J Z, Zhou D C, Yao W et al. Fire flame detection based on GICA and target tracking[J]. Optics & Laser Technology, 47, 283-291(2013).

    [8] Ma S, Deng K Z, Zhuang H F et al. Otsu change detection of low and moderate resolution synthetic aperture radar image by using multi-texture features[J]. Laser & Optoelectronics Progress, 54, 062804(2017).

    [9] Mueller M, Karasev P, Kolesov I et al. Optical flow estimation for flame detection in videos[J]. IEEE Transactions on Image Processing, 22, 2786-2797(2013).

    [10] Chi R, Lu Z M, Ji Q G. Real-time multi-feature based fire flame detection in video[J]. IET Image Processing, 11, 31-37(2017).

    [11] Kong S G, Jin D L, Li S Z et al. Fast fire flame detection in surveillance video using logistic regression and temporal smoothing[J]. Fire Safety Journal, 79, 37-43(2016).

    [12] Dai J. Research and application on the algorithm of fast fire detection[D]. Mianyang: Southwest University of Science and Technology(2017).

    [13] Horng W B, Peng J W, Chen C Y. A new image-based real-time flame detection method using color analysis. [C]∥2005 IEEE Networking, Sensing and Control, March 19-22, 2005, Tucson, AZ, USA. New York: IEEE, 100-105(2005).

    [14] Haralick R M. Statistical and structural approaches to texture[J]. Proceedings of the IEEE, 67, 786-804(1979).

    [15] Specht D F. Probabilistic neural networks[J]. Neural Networks, 3, 109-118(1990).

    [16] Yao H J, Zhao Z L, Wang H J[J]. EM algorithm and several algorithms for its promotion The Guide of Science & Education, 2016, 80.

    [18] CVPR Lab, Keimyung University[2019-01-05]. Korea [2019-01-05].https:∥cvpr.kmu.ac.kr/..

    [20] Li Z L, Mihaylova L S, Isupova O et al. Autonomous flame detection in videos with a Dirichlet process Gaussian mixture color model[J]. IEEE Transactions on Industrial Informatics, 14, 1146-1154(2018).

    Yong Tan, Linbo Xie, Hongwei Feng, Li Peng, Zhengdao Zhang. Flame Detection Algorithm Based on Image Processing Technology[J]. Laser & Optoelectronics Progress, 2019, 56(16): 161012
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