Summary
the 2014 International Symposium on Nonlinear Theory and its Applications
2014
Session Number:C3L-C
Session:
Number:C3L-C4
Similarity-based Image Retrieval considering Shape and Texture by Self-Organizing Map with Refractoriness
Ikko MIURA, Yuko OSANA,
pp.602-605
Publication Date:2014/9/14
Online ISSN:2188-5079
DOI:10.34385/proc.46.C3L-C4
PDF download (160.7KB)
Summary:
In this paper, we propose a similarity-based image retrieval considering shape and texture by selforganizing map with refractoriness. Most of the conventional image retrieval systems are used color information mainly, and feature on shape and texture are not fully considered. We carried out a series of computer experiments and confirmed the effectiveness of the proposed system.