Research on the Image Enhancement Algorithm of Pointer Instrument under Inadequate Light

Lu Zhang; Jin Lin Zhang; Ting Rui; Yue Wang; Yan Nan Wang

doi:10.4028/www.scientific.net/AMM.615.248

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 615Research on the Image Enhancement Algorithm of...

Research on the Image Enhancement Algorithm of Pointer Instrument under Inadequate Light

Abstract:

For image processing, the recognition of pointer instrument’s reading by computer vision highly depends on brightness. An image enhancement algorithm based on homomorphic filtering and histogram equalization is proposed in order to reduce the impact of low-light conditions on images of pointer instrument. It combines the methods of spatial with frequency domain, which enhances the image contrast and highlights the image details as well. Compared with the traditional method, the experiments show that the proposed method can eliminate the effect of inadequate light and also perform well in enhancing the image quality.

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Periodical:

Applied Mechanics and Materials (Volume 615)

Pages:

248-254

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.615.248

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Online since:

August 2014

Authors:

Lu Zhang*, Jin Lin Zhang, Ting Rui, Yue Wang, Yan Nan Wang

Keywords:

Histogram Equalization, Homomorphic Filtering, Image Enhancement, Pointer Instrument

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* - Corresponding Author

References

[1] Huang Yang. Automatic Recognition Research of the Analog Display Instrument based on the figure recognition[D]. Shandong, Shandong University, (2008).

Google Scholar

[2] Ren Yanfei. Application of Histogram Equalization in Image Processing[J]. Science Information, (2007).

Google Scholar

[3] Cai Jianxin. Research on Image Acquisition Technology of Pointer Instrument[D]. Guangzhou, Guangdong University of Technology, (2009).

Google Scholar

[4] Li Nan, Liu Yongqiang, Han Guohua. Application of Histogram Equalization in Digital Image Processing[D]. Gansu Science and Technology, (2010).

Google Scholar

[5] Wang Ailing, Ye Mingsheng, Deng Qiuxiang. Image Processing Technology and Application by MATLAB R2007 [M]. Beijing, Electronic Industry Press, (2008).

Google Scholar

[6] Guo Guifa, Wang Renhuang, Wang Huan. A Pretreatment of Image Based on Reformative Homomorphic Filtering[J]. Journal of Guangdong University of Technology, (2009).

Google Scholar

[7] Wang Dejun, Wang Jianli, Yin Yumei, Wang Minghao. Algorithm of Improved Histogram Equalization for Real-Time Image Based on FPGA[J]. Microelectronics and Computer, (2010).

Google Scholar

[8] Shi Jingjian, Wang Panpan. Improved Homomorphic Filtering Application In Image Processing Technology[J]. Science and Technology Information, (2010).

Google Scholar