An algorithm on processing medical image based on rough-set and Genetic Algorithm

被引：0
|
作者：
Hu, Yongmei [1 ]
Jiang, Xiaona [1 ]
Xin, Fengqin [2 ]
Zhang, Tianyi [1 ]
Yuan, Jianping [1 ]
Zhai, Lihong [1 ]
Guo, Chunhua [1 ]
机构：
[1] Shandong Univ, Sch Control Sci & Engn, Jinan, Peoples R China
[2] Jinan Univ, Guangzhou, Peoples R China
来源：
2008 INTERNATIONAL SPECIAL TOPIC CONFERENCE ON INFORMATION TECHNOLOGY AND APPLICATIONS IN BIOMEDICINE, VOLS 1 AND 2 | 2008年
关键词：
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
In this paper a method of image enhancement based on rough-set and Genetic Algorithm (GA) is developed.The application of rough-set on image enhancement is different from traditional methods. According to the class attribute of rough-set, we can divide the image into the marginal zone and non-marginal zone, and then enhance them separetely. In the process of rough-set classifying, optimizing the threshold value is achieved by applying GA, which can assure the optimization of the classifying. We combine rough-set classification and Genetic Algorithm together to enhance the image, since both of them have its own advantage on image enhancement. In fact, the results show that it can achieve a more ideal purpose.
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页码：118 / +
页数：2
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