AN IMAGE SEGMENTATION APPROACH BASED ON FUZZY-NEURAL-NETWORK HYBRID SYSTEM

被引：0

作者：

Qian Yuntao Xie WeixinDept of Computer Sci Eng Northwestern Polytechnical University Xian Dept of Electronic Eng Xidian University Xian ^{[710072
,710071
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机构：

来源：

Journal of Electronics(China) | 1997年 / 04期

关键词：

Computer vision; Image segmentation; Fuzzy logic; Neural network;

D O I：

暂无

中图分类号：

TP391.41 [];

学科分类号：

080203 ;

摘要：

<正> This paper presents a new solution to the image segmentation problem, which is based on fuzzy-neural-network hybrid system (FNNHS). This approach can use the experiential 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 which can work in parallel. The segmentation process consists of pre-segmentation based on region growing algorithm and region merging based on FNNHS. The experimental results on the complicated image manifest the utility of this method.

引用

页码：352 / 356

页数：5