[1]刘正云,鲍旭东,舒中力,等.模糊Kohonen聚类网络用于骨髓细胞图像分割[J].东南大学学报(自然科学版),2002,32(6):909-912.[doi:10.3969/j.issn.1001-0505.2002.06.018]
 Liu Zhengyun,Bao Xudong,Shu Zhongli,et al.Fuzzy Kohonen clustering network for medullar cell image segmentation[J].Journal of Southeast University (Natural Science Edition),2002,32(6):909-912.[doi:10.3969/j.issn.1001-0505.2002.06.018]
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模糊Kohonen聚类网络用于骨髓细胞图像分割()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
32
期数:
2002年第6期
页码:
909-912
栏目:
图像处理
出版日期:
2002-11-20

文章信息/Info

Title:
Fuzzy Kohonen clustering network for medullar cell image segmentation
作者:
刘正云 鲍旭东 舒中力 罗立民
东南大学生物科学与医学工程系,南京 210096
Author(s):
Liu Zhengyun Bao Xudong Shu Zhongli Luo Limin
Department of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China
关键词:
模糊Kohonen聚类网络 边界模型 Zernike矩 模糊分割
Keywords:
fuzzy Kohonen clustering network boundary model Zernike moment fuzzy segmentation
分类号:
TP751
DOI:
10.3969/j.issn.1001-0505.2002.06.018
摘要:
提出了一种基于图像的边界特点来确定模糊Kohonen聚类网络输出类别的方法.该方法首先构建了图像的一个边界模型,然后利用Zernike矩求出边界模型的参数,最后根据参数的特点,自动确定模糊Kohonen聚类网络输出数目.试验结果表明该方法构建的模糊Kohonen聚类网络能够实现图像的自动模糊分割,说明了方法的可行性.
Abstract:
A new method based on image’s boundary characteristic is presentedto determine the numbers of fuzzy kononen clustering Network’s output nodes. In this method, an image’s boundary model is presented, and the model’s parameters are acquired by using Zernike moments. The FKCN’s output numbers are then confirmed automatically based on the traits of the parameters. The result shows that the FKCN made by the proposed method can segment images automatically and therefore it is feasible.

参考文献/References:

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备注/Memo

备注/Memo:
作者简介: 刘正云(1978—),男,硕士生; 鲍旭东(联系人),男,硕士,教授,硕士生导师,bao.list@seu.edu.cn.
更新日期/Last Update: 2002-11-20