Journal
INTERNATIONAL JOURNAL OF MINING SCIENCE AND TECHNOLOGY
Volume 23, Issue 2, Pages 221-225Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.ijmst.2013.04.016
Keywords
Refuge chamber; Image denoising; Bilateral filtering; Wavelet transform
Categories
Funding
- Scientific Research Project of Zhejiang Education Department of China [Y20108569]
- Soft Science Project of Ningbo of China [2011A1058]
- Soft Science of Zhejiang Association for Science and Technology of China [KX12E-10]
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In order to preferably identify infrared image of refuge chamber, reduce image noises of refuge chamber and retain more image details, we propose the method of combining two-dimensional discrete wavelet transform and bilateral denoising. First, the wavelet transform is adopted to decompose the image of refuge chamber, of which low frequency component remains unchanged. Then, three high-frequency components are treated by bilateral filtering, and the image is reconstructed. The result shows that the combination of bilateral filtering and wavelet transform for image denoising can better retain the details which are included in the image, while providing better visual effect. This is superior to using either bilateral filtering or wavelet transform alone. It is useful for perfecting emergency refuge system of coal mines. (C) 2013 Published by Elsevier B.V. on behalf of China University of Mining & Technology.
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