| 基于改进模糊聚类分析的医学脑部MRI图像分割 |
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| 引用本文： | 周显国,陈大可,苑森淼.基于改进模糊聚类分析的医学脑部MRI图像分割[J].吉林大学学报(工学版),2009(Z2). |
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| 作者姓名： | 周显国 陈大可 苑森淼 |
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| 作者单位： | 吉林省人民医院;吉林大学通信工程学院; |
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| 基金项目： | 吉林省科学技术厅项目(20070323) |
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| 摘 要： | 结合MRI图像的直方图统计信息,提出了一种改进的快速FCM(HF-KFCM)算法。算法首先利用多尺度窗口遍历的方法找到直方图的峰值点,然后将其作为模糊聚类的初始化中心,并使用基于统计信息的快速聚类方法进行遍历,以减少每次迭代的运算量。仿真结果表明,该算法相比于标准FCM算法和其他改进算法,在聚类有效性和模糊性上的分割效果显著提高。
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| 关 键 词： | 信息处理技术 图像分割 脑部磁共振图像 模糊聚类 直方图统计 |
Medical brain MRI images segmentation by improved fuzzy C-Means clustering analysis |
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| ZHOU Xian-guo,CHEN Da-ke,YUAN Sen-miao.Medical brain MRI images segmentation by improved fuzzy C-Means clustering analysis[J].Journal of Jilin University:Eng and Technol Ed,2009(Z2). |
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| Authors: | ZHOU Xian-guo CHEN Da-ke YUAN Sen-miao |
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| Affiliation: | 1.People's Hospital of Jilin Province;Changchun 130022;China;2.College of Communication Engineering;Jilin University;China |
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| Abstract: | For the shortcomings of huge calculation in MRI images segmentation with standard Fuzzy C-Mean algorithm(FCM),a new algorithm combined with histogram statistical information of Improved Fast Fuzzy C-Mean algorithm(HF-KFCM) was proposed.Firstly,the method of multi-scale window traverse is used by this algorithm to find the histogram peaks.Then these peaks are defined as the fuzzy clustering initialization centre.Meanwhile,the fast FCM method based on histogram statistic is used as ergodicity to reduce each i... |
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| Keywords: | information processing image segmentation brain MRI image fuzzy C-Mean histogram statistic |
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