| 基于自组织特征映射网络SOM的图像分割方法 |
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| 引用本文： | 摆晔,李志勇,蒋慕蓉. 基于自组织特征映射网络SOM的图像分割方法[J]. 云南大学学报(自然科学版), 2007, 0(Z2) |
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| 作者姓名： | 摆晔 李志勇 蒋慕蓉 |
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| 作者单位： | 云南大学信息学院 云南昆明650091 |
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| 基金项目： | 云南省应用基础研究计划项目(2007F153M) |
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| 摘 要： | 阈值法是图像分割中常用的有效分割技术之一,但是阈值的选取对分割结果影响很大,特别是对于生物医学图像,分割结果往往不能满足要求.本文将SOM神经网络应用到图像分割中,利用其自组织学习的能力自动获取阈值,其结果不仅优于传统阈值法,而且也优于竞争型神经网络.
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| 关 键 词： | SOM神经网络 图像分割 阈值法 |
Image-Segmentation based on SOM neural network |
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| BAI Ye,LI Zhi-yong,JIANG Mu-rong. Image-Segmentation based on SOM neural network[J]. Journal of Yunnan University(Natural Sciences), 2007, 0(Z2) |
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| Authors: | BAI Ye LI Zhi-yong JIANG Mu-rong |
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| Abstract: | Threshold method is commonly used in image segmentation as a effective segmentation technique,but the selection of threshold has a great impact on the results,especially for biomedical images,the segmentation results often do not match the requirements.This paper used SOM neural network applications to image segmentation,uses of its self-organizing learning capabilities to Automatic Generate threshold,the result is not only superior to the traditional threshold,but also superior to the competitive neural networks. |
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| Keywords: | SOM neural network image segmentation threshold segmentation |
| 本文献已被 CNKI 等数据库收录！ |
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