| 改进FCM算法在颅脑磁共振图像分割中的应用 |
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| 引用本文： | 王猛,王玉锋,苏蕊.改进FCM算法在颅脑磁共振图像分割中的应用[J].济宁医学院学报,2010,33(4):291-293. |
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| 作者姓名： | 王猛 王玉锋 苏蕊 |
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| 作者单位： | 济宁医学院信息工程学院,山东,日照,276826 |
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| 基金项目： | 济宁医学院青年科研基金 |
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| 摘 要： | 模糊C均值（FCM）聚类算法广泛应用于医学图像分割中,但该算法在分割低信噪比图像时,会产生较大的偏差。为解决这一问题,本文提出一种改进的FCM算法,充分考虑相邻像素之间的影响,对FCM的目标函数做一定的修改。实验表明,该算法与FCM算法相比,既能有效分割图像,又对低信噪比图像具有很好的分割效果。
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| 关 键 词： | 医学图像分割 模糊聚类 模糊C均值 |
Brain MR image segmentation based on modified Fuzzy C-means |
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| WANG Meng,WANG Yu-feng,SU Rui.Brain MR image segmentation based on modified Fuzzy C-means[J].Jounal of Jinning Medical College,2010,33(4):291-293. |
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| Authors: | WANG Meng WANG Yu-feng SU Rui |
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| Institution: | (College of Information Egineering,Jining Medical University,Rizhao,276826,China) |
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| Abstract: | Objective Fuzzy c-means is widely used in medical image segmentation,but the algorithm is less ef-fective for image with low SNR.Methods To solve this problem,a modified fuzzy c-means algorithm is proposed in this paper,which the image＇s space information is fully considered.Conclusion The experiments show that,the modified algorithm is effective for the image with low SNR. |
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| Keywords: | Medical image segmentation Fuzzy clustering Fuzzy C-Means |
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