Fractal research of pathological tissue images

被引:15
作者
Tian-Gang, Li [1 ]
Wang, Supin [1 ]
Zhao, Nan [1 ]
机构
[1] Xian Jiaotong Univ, Educat Minist, Sch Life Sci & Technol, Key Lab Biomed Informat Engn, Xian 710049, Peoples R China
关键词
texture detecting; fractal dimension; pathological tissue images; Brown model; Hurst coefficient;
D O I
10.1016/j.compmedimag.2007.08.002
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
A novel texture detecting analysis for medical pathological tissue images was developed by fractal Brown model. According to fractal Brown random field model, a discrete fractal random field for image texture detection on a definite scale could be derived from the Brown model. Using fractal dimensions in partial region of the image and gray difference between adjacent pixels and relevant Hurst coefficient, a new medical image texture detecting analysis that could reflect the image feature was brought forward. The detecting results had been acquired. The results indicate that the texture detecting method by the Brown model is remarkable. (c) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码:665 / 671
页数:7
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