A CONTENT-BASED IMAGE RETRIEVAL METHOD BASED ON FRACTAL IMAGE CODING
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概要
- 論文の詳細を見る
In this paper, we present a new content-based image retrieval method based on the fractal image coding. Several content-based image retrieval methods have been reported. However, most of them require high computation cost because they perform multiplication when computing the similarity between a query image and database images. There-fore, in order to achieve image retrieval with low computation cost, the proposed method introduces a new similarity measurement. Moreover, to effectively distinguish similar images to the query image from the others, the proposed method searches the database images for the similar images based on a novel approach which utilizes the advantage of the fractal image coding. The experimental results show that the proposed method can search for the similar images not only quickly but also accurately.
- 社団法人電子情報通信学会の論文
- 2003-01-14
著者
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Kondo Isao
School Of Engineering Hokkaido University
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Haseyama Miki
School Of Information Science And Technology Hokkaido University
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Kitajima Hideo
School of Engineering, Hokkaido University
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Kitajima Hideo
School Of Engineering Hokkaido University
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Haseyama Miki
School Of Engineering Hokkaido University
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