| 基于模糊集理论的医学CR图像增强 |
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| 引用本文： | 刘恒殊,黄廉卿.基于模糊集理论的医学CR图像增强[J].光学精密工程,2002,10(1):94-97. |
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| 作者姓名： | 刘恒殊 黄廉卿 |
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| 作者单位： | 中国科学院长春光学精密机械与物理研究所,吉林,长春,130022 |
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| 基金项目： | 国家自然科学基金资助项目 (No .6 96 770 15 ) |
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| 摘 要： | 数字化X光影像可以划分为目标区和背景区两部分,进行医疗诊断的信息主要集中在目标区,因此在图像进行处理时应合理地区分两部分并采用不同的方法进行处理.本文引入模糊集的概念来描述目标区和背景区,并测定了隶属度函数,建立了基于模糊集理论的图像处理模型,给出了具体实现方法.处理后的图像增强了目标区图象的视觉效果,使医学信息得到了更好的表达,进而提高诊断的准确性.
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| 关 键 词： | 图象增强 模糊集 隶属度函数 CR图象 |
| 文章编号： | 1004-924X(2002)01-0094-04 |
| 收稿时间： | 2001/6/18 |
| 修稿时间： | 2001年6月18日 |
Processing method of CR image based on fuzzy set theory |
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| LIU Heng_shu,HUANG Lian_qing.Processing method of CR image based on fuzzy set theory[J].Optics and Precision Engineering,2002,10(1):94-97. |
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| Authors: | LIU Heng_shu HUANG Lian_qing |
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| Affiliation: | Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, 130022, China |
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| Abstract: | The digital CR image can be divided into object region and background region,and useful information about diagnosis is in the former one. In image processing, the two regions should be treated with different ways. In this paper,a fuzzy set is used to describe the two regions, and the membership degree function is established by fuzzy statistics. The image processing model based on the fussy set theory is constructed and the processing method is given in detail. Experimental results show that the proposed methods are both effective and feasible. In the processed images, medical information is impressed clearly, thus improving the diagnosis accuracy. |
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| Keywords: | image enhancement fuzzy sets membership degree functions CR images |
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