| 用模糊数学方法融合多模医学图像 |
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| 引用本文： | 李林,张锦翔,宋志坚. 用模糊数学方法融合多模医学图像[J]. 生物医学工程学杂志, 2005, 22(6): 1085-1089 |
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| 作者姓名： | 李林 张锦翔 宋志坚 |
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| 作者单位： | 复旦大学,数字医学研究中心,上海,200032 |
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| 基金项目： | 国家自然科学基金资助项目(30370417) |
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| 摘 要： | 提出一种基于模糊数学的方法来融合多模医学图像。采用改进的FCM算法分割图像,用自动模糊重分布的算法确定隶属度。在融合步骤中考虑到了16种不同图像组织的交混情况和16种上下文关系,总共256种模糊关系。实验结果表明:该方法有很强的抗配准偏差能力和抗分割干扰能力,并具有稳健、快速、精确等特点。
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| 关 键 词： | 模糊数学 图像融合 图像分割 |
| 收稿时间： | 2004-07-07 |
| 修稿时间： | 2004-07-072004-09-28 |
A Medical Image Fusion Method Based on Fuzzy Mathematics |
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| Li Lin,Zhang Jinxiang,Song Zhijian. A Medical Image Fusion Method Based on Fuzzy Mathematics[J]. Journal of biomedical engineering, 2005, 22(6): 1085-1089 |
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| Authors: | Li Lin Zhang Jinxiang Song Zhijian |
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| Affiliation: | Digital Medical Research Center of Fudan University, Shanghai 200032,China |
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| Abstract: | In this paper,a method based on fuzzy mathematics to fuse multimodality medical images was presented.The improved FCM algorithm was adopted to segment images,and automatic fuzzy redistribution algorithm to define the subject degree.16 different combinations of image tissues and 16 context relations,256 models altogether,were considered.The result showed that the method had the great ability of anti-error and anti-segmentation interference and had the characteristics of robustness,quickness,and accuracy. |
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| Keywords: | Fuzzy mathematics Image fusion Image segmentation |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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