An adaptive nonlinear diffusion algorithm for filtering medical images

被引:46
作者
Jin, JS [1 ]
Wang, Y [1 ]
Hiller, J [1 ]
机构
[1] Univ New S Wales, Sch Comp Sci & Engn, Sydney, NSW 2052, Australia
来源
IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE | 2000年 / 4卷 / 04期
关键词
adaptive filtering; anisotropic filter; diffusion; nonlinear filtering; regression;
D O I
10.1109/4233.897062
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The nonlinear anisotropic diffusive process has shown the good property of eliminating noise while preserving the accuracy of edges and has been widely used in image processing. However, filtering depends on the threshold of the diffusion process, i.e., the cut-off contrast of edges. The threshold varies from image to image and even from region to region within an image, The problem compounds with intensity distortion and contrast variation, We have developed an adaptive diffusion scheme by applying the Central Limit Theorem to selecting the threshold, Gaussian distribution and Rayleigh distribution are used to estimate the distributions of visual objects in images. Regression under such distributions separates the distribution of the major object from other visual objects in a single-peak histogram, The separation helps to automatically determine the threshold. A fast algorithm is derived for the regression process. The method has been successfully used in filtering various medical images.
引用
收藏
页码:298 / 305
页数:8
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