A Segmentation Algorithm Research of Forest Fire Image Based on YCBCR and Improved Local Fractal Dimension

Ai Ping Jiang; Dong Dong Bai; Bo Yu Zhu

doi:10.4028/www.scientific.net/AMM.742.247

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 742A Segmentation Algorithm Research of Forest Fire...

A Segmentation Algorithm Research of Forest Fire Image Based on YCBCR and Improved Local Fractal Dimension

Abstract:

Combined with the characteristics of forest image, the paper puts forward a new forest fire image segmentation method based on YCBCR and local fractal dimension. First of all, convert the image in RGB color space into YCBCR. Secondly, original triangle prism model algorithm which calculates the square of block matrix is replaced with four pyramid model. This algorithm is easy to be realized, reduce the amount of calculation model, and speed up the image segmentation speed. Segmentation effect significantly is improved, and the simulation experimental results show that this algorithm can be very good for the segmentation image of the flame extracted from complex background. It has obvious, accurate and fast effect and provides a good foundation for the future image analysis and recognition processing.

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Periodical:

Applied Mechanics and Materials (Volume 742)

Pages:

247-251

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.742.247

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Online since:

March 2015

Authors:

Ai Ping Jiang*, Dong Dong Bai, Bo Yu Zhu

Keywords:

Forest Fire Image, Four Pyramid Model, Fractal Dimension, RGB, YCbCr

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* - Corresponding Author

References

[1] Jiagui Yang: Da Zhong Ke Ji Vol. 44, Number 8(2011), p.97(in Chinese).

Google Scholar

[2] Hua Li, Fengjun Zhao, Pengyu Chen: FOREST FIRE PREVENTION Vol. 9, No. 3(2011), p.25(in Chinese).

Google Scholar

[3] Jie Liang, Lihong Zhang, Lin Li: COMPUTER TECHNOLOGY AND DEVELOPMENT Vol. 22, No. 1(2012), p.191(in Chinese).

Google Scholar

[4] Aiping Jiang, Yang Yu: Chinese Journal of Scientific Instrument Vol. 31, No. 4(2010), p.818(in Chinese).

Google Scholar

[5] Xiaoling Yan, Liming Wang, Leping Bu: Journal of Data Acquisition & Processing Vol. 27, No. 3(2012), p.368(in Chinese).

Google Scholar

[6] Xiangang Jiang, Qing Liang, Tao Shen: Journal of East China Jiao Dong University Vol. 28, No. 4(2011), p.14 (in Chinese).

Google Scholar

[7] Baoxia Cui, Hong Wang, Yong Duan: Journal of Shenyang University of Technology Vol. 32, No. 1(2010), p.75(in Chinese).

Google Scholar

[8] Junshan Liang, Huiqin Wang, Yan Hu: Computer Engineering Vol. 38, No. 4(2012), p.196(in Chinese).

Google Scholar

[9] Yang Liu, Xiaojian Tian, Qing Wang: Optics and Precision Engineering Vol. 19, No. 6(2011), p.1367(in Chinese).

Google Scholar