| 结合免疫遗传和粗糙集的改进图像分割方法 |
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| 引用本文： | 张一栋,吴锡生.结合免疫遗传和粗糙集的改进图像分割方法[J].计算机工程与应用,2009,45(16):180-181. |
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| 作者姓名： | 张一栋 吴锡生 |
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| 作者单位： | 江南大学,信息工程学院,江苏,无锡,214122 |
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| 摘 要： | 以往的免疫遗传聚类算法都要事先设置聚类数及聚类中心,采取的是有教师学习的方式,对环境的适应性不太。结合免疫网络算法和免疫遗传分类,提出了事先通过一种无教师学习,确定聚类数及聚类中心的免疫遗传分类算法,同时在聚类分类的基础上运用粗糙集对图像进行分割。通过对人脑MR图片的聚类和分割实验,验证了该方法的有效性。
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| 关 键 词： | 免疫遗传算法 不确定理论 粗糙集 图像分割 |
| 收稿时间： | 2008-3-24 |
| 修稿时间： | 2008-6-17
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Improved image segmentation method based on immune genetic algorithm and rough set |
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| ZHANG Yi-dong,WU Xi-sheng.Improved image segmentation method based on immune genetic algorithm and rough set[J].Computer Engineering and Applications,2009,45(16):180-181. |
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| Authors: | ZHANG Yi-dong WU Xi-sheng |
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| Affiliation: | ZHANG Yi-dong,WU Xi-sheng School of Information Technology,Southern Yangtze University,Wuxi,Jiangsu 214122,China |
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| Abstract: | The former immune genetic algorithms have beforehand to establish gathering number and gathering center,adopt the way which the teacher studies,and aren't good to the environment compatibility.This paper unifies the immunity network algorithm and the immunity heredity classification,proposes immunity heredity classification algorithm through one kind of non-teacher study,determines gathering number and gathering center,simultaneously utilizes the rough collection to carry on the division to the picture.Thro... |
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| Keywords: | immune genetic uncertainty theory rough set image segmentation |
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