Volume 35 Issue 7
Jul.  2009
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Li Baolei, Yang Min, Li Junjianget al. Denoising of micro-CT image based on improved NL-means algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics, 2009, 35(7): 833-837. (in Chinese)
Citation: Li Baolei, Yang Min, Li Junjianget al. Denoising of micro-CT image based on improved NL-means algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics, 2009, 35(7): 833-837. (in Chinese)

Denoising of micro-CT image based on improved NL-means algorithm

  • Received Date: 18 Jun 2008
  • Publish Date: 31 Jul 2009
  • Micro-CT(computed tomography)is based on microfocus X-ray source and the ray dose is low. So the noise level of micro-CT image is big and denoising of the CT image is very necessary. The current main denoising methods for CT image and their advantages and disadvantages were summaried. The NL(nonlocal)-means algorithm was described. According to the experiment result, the disadvantage of NL-meas algorithm that artificial artifact will be introduced in smooth region of CT image was analyzed. Based on the shortage of the NL-means algorithm, gradient information of image was introduced in the original algorithm and the improved algorithm was put forward. The improved algorithm keeps the excellent denioising function and the artificial artifact was restrained effectively. The detail contrast can be also enhanced. The availability of the improved algorithm was validated by the experiment result.

     

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