Proposing Method using Images Divided by Center Weighted Division and A Comparison for the Color Image Retrieval
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- OU Katsu
- Faculty of Maritime Sciences, Kobe University
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- KAMAHARA Junzo
- Faculty of Maritime Sciences, Kobe University
Bibliographic Information
- Other Title
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- 中心重点画像分割による色彩特徴量に基づく画像検索の提案と比較(ITS画像処理,映像メディア及び一般)
- 中心重点画像分割による色彩特徴量に基づく画像検索の提案と比較
- チュウシン ジュウテン ガゾウ ブンカツ ニ ヨル シキサイ トクチョウリョウ ニ モトズク ガゾウ ケンサク ノ テイアン ト ヒカク
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Abstract
Promoted by the professional and diverse demands of image retrieval the technique of content-based image retrieval (CBIR) becomes more mature. In CBIR, Color characterization of an image is one of the most important feature and is widely used. This article describes a technique that divides the image by center weighted division and calculates the cumulative histogram of each divided images in L^*a^*b^* color space. Similarity measure uses the Euclidean Distance. According to the experimental results, Our proposed method requires additional computational burden, but it is help to improve the image retrieval effectiveness.
Journal
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- ITE Technical Report
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ITE Technical Report 33.6 (0), 163-166, 2009
The Institute of Image Information and Television Engineers
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Details
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- CRID
- 1390001204526242048
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- NII Article ID
- 110007162228
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- NII Book ID
- AN1059086X
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- ISSN
- 24241970
- 13426893
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- NDL BIB ID
- 10194619
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- CiNii Articles
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- Abstract License Flag
- Disallowed