| 基于修正的分段模糊吉伯斯随机场模型的图像分割 |
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| 引用本文： | 林亚忠,程跃斌,陈武凡.基于修正的分段模糊吉伯斯随机场模型的图像分割[J].计算机应用,2005,25(11):2606-2608. |
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| 作者姓名： | 林亚忠 程跃斌 陈武凡 |
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| 作者单位： | 解放军第一七五医院,信息科,福建,漳州,363000;第一军医大学,医学图像处理全军重点实验室,广东,广州,510515 |
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| 基金项目： | 国家973规划项目（2003CB716104）;福建省自然科学基金项目（Z0516081） |
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| 摘 要： | 模糊随机场模型在解决多值模糊分割方面主要存在算法的稳定性和效率问题。针对这些不足，提出一种简单、方便有效的多值模糊分割新算法--修正的分段模糊吉伯斯分割算法。该算法利用修正的模糊C均值来提供良好的初始分类，结合传统的二值模糊算法来完成对复杂多值图像的快速、精确分割。实验表明，该修正算法比传统的随机场模型有更好的图像分割能力，能较好地解决目前多值模糊分割算法所面临的稳定性和效率问题。
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| 关 键 词： | 图像分割 修正的模糊C平均 吉伯斯分布 模糊随机场 |
| 文章编号： | 1001-9081（2005）11-2606-03 |
| 收稿时间： | 2005-05-12 |
| 修稿时间： | 2005-05-12 |
Image segmentation based on modified and piecewise fuzzy Gibbs random fields |
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| LIN Ya-zhong,CHENG Yue-bin,CHEN Wu-fan.Image segmentation based on modified and piecewise fuzzy Gibbs random fields[J].journal of Computer Applications,2005,25(11):2606-2608. |
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| Authors: | LIN Ya-zhong CHENG Yue-bin CHEN Wu-fan |
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| Affiliation: | 1.Department of Medical Information,175 Hospital,Zhangzhou Fujian 363000,China; 2.Key Laboratory of Medical Image Processing of PLA,First Military Medical University,Guangzhou Guangdong 510515,China |
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| Abstract: | A simple,easy but efficient approach,based on modified and piecewise fuzzy Gibbs random fields was introduced.A fine initial classification was got by modified FCM(Fuzzy C-Means),then combined with the two classes fuzzy method,a complex segmentation was got efficiently and precisely.Experiments show that our approach is more reliable and effective than classical methods in multi-class image segmentation. |
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| Keywords: | image segmentation modified FCM(Fuzzy C-Means) Gibbs distribution fuzzy random fields |
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