Summary

Proceedings of the 2012 International Symposium on Nonlinear Theory and its Applications

2012

Session Number:A1L-A

Session:

Number:9

Similarity-based Image Retrieval considering Artifacts from Plural Key Images by Self-Organizing Map with Refractoriness

Yu MORIMOTO,  Yuko OSANA,  

pp.9-12

Publication Date:

Online ISSN:2188-5079

DOI:10.15248/proc.1.9

PDF download (422.6KB)

Summary:
In this paper, we propose a similarity-based image retrieval from plural key images by self-organizing map with refractoriness. Most of the conventional image retrieval systems can retrieve only from one key image. In contrast, the proposed system can retrieve similar images which have common features in plural key images. We carried out a series of computer experiments and confirmed the effectiveness of the proposed system.

References:

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