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一种结合线性模板的非线性扩散平滑方法 被引量:1

AN IMPROVED PREPROCESSING FOR MRI
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摘要 一般的平滑算法往往因过度平滑使得图像细节特征模糊,针对这一情况,在传统的基于偏微分方程的算法中,加入对大曲率边界点进行线性模板匹配的改进,对比现存的保边界平滑算法,实验结果表明,改进的算法优于其他算法。 Preproeessing of smoothing often brings about blurred image. In this paper,we add linear masks to the minutia preserving smoothing algorithm which based on solving a nonlinear diffusion equation. Compared with other existing methods ,this improved algorithm has better performance preproeessing of noisy images.
出处 《计算机应用与软件》 CSCD 北大核心 2007年第4期148-149,167,共3页 Computer Applications and Software
关键词 保细节平滑 非线性扩散 偏微分方程 线性模板 Minutia preserving smoothing Nonlinear diffusion Partial differential equations Linear masks
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参考文献5

  • 1Nagao Makoto,Matsuyama Takashi.Edge Preserving Smoothing[J],Computer Graphics and Image Processing,1979,9(3):394~407.
  • 2Perona P.Malik J.Scale Space and Edge Detection Using Anisotropic Diffusion[J].IEEE Trans.Pattern Anal.Machine Intell,1990,12(7):629~639.
  • 3Catte F.Coll T.Lions P.L.et al.,Image Selective Smoothing and Edge Detection by Nonlinear Diffusion[J].SIAM J Number Anal,1992,29(1):182~193.
  • 4Alvarez L.Lions P.L.Morel J.M.,Image Selective Smoothing and Edge Detection by Nonlinear DiffusionⅡ[J],SIAM J Number Anal,1992,29(3):845~866.
  • 5朱菊华,杨新,杜啸晓,宋蕾.核磁共振图象的预处理[J].计算机工程,2001,27(2):25-26. 被引量:1

二级参考文献2

  • 1黄煦涛.二维数字信号处理Ⅱ[M].北京:科学出版社,1985..
  • 2黄煦涛,二维数字信号处理Ⅱ,1985年

同被引文献6

  • 1葛婷,张建伟.一种基于自适应阈值的保细节平滑滤波器[J].计算机应用与软件,2007,24(7):151-154. 被引量:5
  • 2[1]Weickert J.A review of nonlinear diffusion filtering[C]//Scale-Space Theory in Computer Vision.Proceedings of Scale-Space Theory in Computer Science.Berlin:Springer,1997:3-28
  • 3[2]Gonzalez C Rafael,Woods E Richard.数字图像处理(第2版)[M].北京:电子工业出版社,2003:463-474
  • 4[3]Perona P,Malik J.Scale Space and Edge Detection Using Anisotropic Diffusion[J].IEEE Trans.Pattern Anal.Machine Intell,1990,12(7):629-639
  • 5[4]Alvarez L,Lions P L,Morel J M.Image Selective Smoothing and Edge Detection by Nonlinear Diffusion Ⅱ[J].SIAM J Number Anal,1992,29(3)-845-866
  • 6[8]Rudin L,Osher S,Fatemi E.Nonlinear total variation based noise removal algorithms[J].Physica D,1992,60 (1/4):259-268

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