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基于改进NL-means算法的显微CT图像降噪

李保磊 杨 民 李俊江

李保磊, 杨 民, 李俊江等 . 基于改进NL-means算法的显微CT图像降噪[J]. 北京航空航天大学学报, 2009, 35(7): 833-837.
引用本文: 李保磊, 杨 民, 李俊江等 . 基于改进NL-means算法的显微CT图像降噪[J]. 北京航空航天大学学报, 2009, 35(7): 833-837.
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)

基于改进NL-means算法的显微CT图像降噪

详细信息
    作者简介:

    李保磊(1980-), 男, 山东菏泽人,博士生, baolei_li@yahoo.com.cn.

  • 中图分类号: TP 391

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

  • 摘要: 显微CT(Computed Tomography)采用微焦点射线源,射线剂量低,CT图像噪声大,对其降噪十分必要.综述了现存主要CT图像降噪算法及其优缺点,介绍了NL(nonlocal)-means算法,根据实验结果分析了其会在图像平滑区域引入人工伪影的不足.根据NL-means算法的不足,在原算法中引入图像的梯度信息,提出了改进的降噪算法,改进算法保持了原算法优良的降噪功能,并能有效抑制人工伪影,且能够提高图像细节对比度,实验结果验证了改进算法的有效性.

     

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出版历程
  • 收稿日期:  2008-06-18
  • 网络出版日期:  2009-07-31

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