文章基本信息

标题：Image Segmentation and Edge Detection Using a Neural Networks RBF Approach
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作者：Shweta Lawanya Rao ; Dolley Shukla
期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2014
卷号：3
期号：4
页码：1330-1335
出版社：Shri Pannalal Research Institute of Technolgy
摘要：The system consist of a multilayer perceptron (MLP)-like network that performs image segmentation by RBF technique of the input image using labels automatically pre-selected by a fuzzy clustering technique. The proposed architecture is feedforward, the learning is unsupervised. The proposed system is capable to perform automatic multilevel segmentation of images, based solely on information contained by the image itself. No a priori assumptions whatsoever are made about the image (type, features, contents, stochastic model, etc.). The proposed system can be readily employed, "as is," or as a basic building block by a more sophisticated and/or application-specific image segmentation algorithm.
关键词：Image segmentation; Multilayer ; perceptron; unsupervised; Fuzzy clustering