Neural techniques for image segmentation

被引：2
|
作者：
Marsella, M [1 ]
Miranda, S [1 ]
机构：
[1] Univ Salerno, CRMPA, Ctr Ric Matemat Pura & Applicata, DIIMA,Dipartimento Ingn Informazione & Matemat Ap, I-84084 Salerno, Italy
来源：
IEEE INTERNATIONAL JOINT SYMPOSIA ON INTELLIGENCE AND SYSTEMS - PROCEEDINGS | 1998年
关键词：
D O I：
10.1109/IJSIS.1998.685477
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this work we present new neural techniques including unsupervised technology and Fuzzy Logic foundations. We realized a hybrid neural network and we applied three different unsupervised learning algorithms that we made specially for it: Fuzzy MLSOM, Fuzzy Hierarchical "Neural Gas" and Fuzzy Hierarchical "Maximum Entropy" The experiments here presented are on image segmentation. The results are very interesting: they show that neural networks are a valid instrument for image processing and shape recognition.
引用
收藏
页码：367 / 372
页数：6
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