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用模糊集实现CR图象增强
引用本文:魏先民.用模糊集实现CR图象增强[J].科技广场,2005(3):46-48.
作者姓名:魏先民
作者单位:潍坊学院计算机科学系,潍坊,261061
摘    要:数字化X光影像可以划分为目标区和背景区,进行医疗诊断的信息主要集中在目标区。本文引入模糊集的概念来描述目标区和背景区,并测定隶属度函数,建立了基于模糊集理论的图象处理模型,给出了具体方法。实验证明,处理后的图象增强了目标区图象的视觉效果,更好地表达了医学信息,进而提高了诊断的准确性。

关 键 词:图象增强  模糊集  隶属度函数  CR图象  x光影像
文章编号:1671-4792-(2005)03-0105-03

Enhancing CR Image Using Fuzzy Set Theory
Wei Xianmin.Enhancing CR Image Using Fuzzy Set Theory[J].Science Mosaic,2005(3):46-48.
Authors:Wei Xianmin
Abstract:The digital image can be divided into object region and background region, and the useful information about diagnosis is in the former one. In this paper, a fuzzy set is used to describe the two regions, and the membership function is established by fuzzy statistics. The image processing model based on the fuzzy set theory is constructed and the processing method is given in detail. Experimental results show that the proposed methods are both effective and feasible to improve diagnosis accuracy.
Keywords:image enhancement  fuzzy set  membership function  CR image  
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