Neuro-fuzzy system for adaptive multilevel image segmentation

被引：0
|
作者：
Boskovitz, V
Guterman, H
机构：
来源：
NINETEENTH CONVENTION OF ELECTRICAL AND ELECTRONICS ENGINEERS IN ISRAEL | 1996年
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D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
An auto-adaptive Neuro-Fuzzy segmentation architecture is presented. The system consists of a multilayer perceptron (MLP) network that performs adaptive thresholding of the input image using labels automatically preselected by a fuzzy clustering technique. The proposed architecture is feedforward, but unlike the conventional MLP the learning is unsupervised. The output status of the network is described as a fuzzy set. Fuzzy entropy is used as a measure df the error of the system.
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页码：208 / 211
页数：4
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