Analysis on Peeping Image Enhancement of Coal Mine Borehole Based on Wavelet Packet Decomposition

Wen Hua Zha; Jun Li Xiong; Xiao Hu Liu

doi:10.4028/www.scientific.net/AMR.424-425.773

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 424-425Analysis on Peeping Image Enhancement of Coal Mine...

Analysis on Peeping Image Enhancement of Coal Mine Borehole Based on Wavelet Packet Decomposition

Abstract:

According to the characteristics of wavelet packet decomposition and reconstruction, an image enhancement method is put forward by decomposing wavelet packet and adjusting enhancement coefficient of band signal by the energy size. First, borehole peep images were decomposed by wavelet packet, and obtained the signal bandwidth of each layer after wavelet packet decomposition combined with Fourier transform. Secondly, energy of each band signal was calculated, wavelet packet decomposition coefficients according to the size of band energy were enhanced and weakened. Finally, the wavelet packet images were reconstructed. Project case indicates that this method can effectively enhance the images, especially the information of fractured surrounding rock.

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Periodical:

Advanced Materials Research (Volumes 424-425)

Pages:

773-776

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.424-425.773

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Online since:

January 2012

Authors:

Wen Hua Zha, Jun Li Xiong, Xiao Hu Liu

Keywords:

Energy Coefficient, Image Enhancement, Wavelet Packet Coefficient, Wavelet Packet Decomposition

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References

[1] Lu J,Healy D M,Weaver J V. Contrast enhancement of medical images using multiscale edge representation[J].Optical Engineering, 1994, 33(7):2151~2161.

DOI: 10.1117/12.172254

Google Scholar

[2] Fu J C,Lien,H,C,Wong S T C.Wavelet-based histogram equalization enhancement of gastric sonogram image[J].Computerized medical Imaging and Graphics,2000,04:59~68.

DOI: 10.1016/s0895-6111(00)00007-0

Google Scholar

[3] Yuan Xiaoping,Yu Hongzhen. Based on the wavelet transformation of the coal mine underground rock image enhancement processing [J]. Journal of southeast university (natural science edition), 2004, 11(34, Sup):211~214.

Google Scholar

[4] Yuan Xiaoping. Based on the wavelet transform of the modulus maxima of coal mine rock image edge detection processing[J].The computer engineering and design,2008,17(29):4504~4506.

Google Scholar

[5] Jiang ze min,Xu de,Yang yue quan ,at el. Based on wavelet packet decomposition of image contrast judgment [J]. China journal of image and graphics, 2004, 6(9):717~721.

Google Scholar

[6] Xu Changfa. Practical wavelet method[M].Wuhan: Huazhong university of science and technology press, 2004.

Google Scholar

[7] Zha Wenhua, Hong Baoning, Xu Yi. The traffic load the vibration response of the signal analysis of characteristics of time and frequency[J].Engineering anti-seismic and reinforcement and reconstruction ,2007,29(4):105~109.

Google Scholar