| 基于模糊——神经网络混合系统的图象分割方法 |
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| 引用本文： | 钱云涛,谢维信.基于模糊——神经网络混合系统的图象分割方法[J].电子与信息学报,1997,19(2):265-268. |
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| 作者姓名： | 钱云涛 谢维信 |
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| 作者单位： | 西北工业大学计算机科学与工程系，西安电子科技大学电子工程系 西安 710072，西安 710071 |
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| 摘 要： | 本文提出了一种基于模糊-神经网络混合系统(FNNHS)的图象分割方法。它可以利用人的经验知识和神经网络从样本数据中学习知识的能力,得到性能良好的模糊规则,并且可以通过神经网络结构实现模糊推理。分割过程由基于区域生长的预分割和基于FNNHS的区域合并两步构成。实验表明,该方法用于复杂图象分割具有很好的效果。
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| 关 键 词： | 计算机视觉 图象分割 模糊逻辑 神经网络 |
| 收稿时间： | 1995-4-11 |
| 修稿时间： | 1995-7-18 |
AN IMAGE SEGMENTATION APPROACH BASED ON FUZZY-NEURAL-NETWORK HYBRID SYSTEM |
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| Qian Yuntao,Xie Weixin.AN IMAGE SEGMENTATION APPROACH BASED ON FUZZY-NEURAL-NETWORK HYBRID SYSTEM[J].Journal of Electronics & Information Technology,1997,19(2):265-268. |
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| Authors: | Qian Yuntao Xie Weixin |
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| Affiliation: | Northwestern Poly technical University, Xi'an 710072;Department of Electronic Engineering,Xidian University,Xi'an 710071 |
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| Abstract: | This paper presents an image segmentation approach which is based on fuzzy-neural-network hybrid system(FNNHS). This approach can use the empirical knowledge and the ability of neural networks which learn knowledge from the examples, to obtain the well performed fuzzy rules. Furthermore this fuzzy inference system is completed by neural network structure. The segmentation process consists of pre-segmentation based on region growing algorithm and region merging based on FNNHS. The experiments illustrate the power and efficiency of this method used for complicated image. |
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| Keywords: | Computer vision Image segmentation Fuzzy logic Neural network |
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