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Vol.24 No.3
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An Evaluative Study on the Content-based Trademark Image Retrieval System Based on Self Organizing Map(SOM) Algorithm

Journal of the Korean Society for Information Management / Journal of the Korean Society for Information Management, (P)1013-0799; (E)2586-2073
2007, v.24 no.3, pp.321-341
https://doi.org/10.3743/KOSIM.2007.24.3.321






& (2007). An Evaluative Study on the Content-based Trademark Image Retrieval System Based on Self Organizing Map(SOM) Algorithm. Journal of the Korean Society for Information Management, 24(3), 321-341, https://doi.org/10.3743/KOSIM.2007.24.3.321
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Abstract

It will be possible to prevent the infringement of the trademarks and the insueing disputes regarding the originality of the trademarks by using an efficient content-based trademark image retrieval system. In this paper, we describe a content-based image retrieval system using the Self Organizing Map(SOM) algorithm. The SOM algorithm utilizes the visual features, which were derived from the gray histogram representation of the images. In addition, we made the objective effectiveness evaluation possible by coming up with a quantitative measure to gauge the effectiveness of the content-based image retrieval system.

keywords
content-based image retrieval, SOM algorithm, trademark image, gray histogram analysis, quantitative analysis, 내용기반 이미지 검색, SOM 알고리즘, 상표 이미지, 회색조 히스토그램 분석, 정량적 성능평가

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Journal of the Korean Society for Information Management

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