Retrieval System of Similar Image Using the Features Extracted in Areas of Subband Division
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- KADONO Shin-ichi
- Graduate School of Engineering, Kanto Gakuin University
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- OKAMOTO Noriyoshi
- Graduate School of Engineering, Kanto Gakuin University
Bibliographic Information
- Other Title
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- サブバンド分割領域における特徴を用いた類似画像検索(バイオメトリクスシステムおよび一般)
- サブバンド分割領域における特徴を用いた類似画像検索
- サブバンド ブンカツ リョウイキ ニ オケル トクチョウ オ モチイタ ルイジ ガゾウ ケンサク
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Abstract
In this paper, image retrieval method using the features extracted in areas of subband division after the wavelet transform is discussed. Similar image can be retrieved in high accuracy by using the feature calculated by color values and edge positions in subband areas. The feature of color values is extracted by using the color histogram in low frequency area and the feature of edge positions is extracted by the higher order local autocorrelation. The retrieval simulation of similar image was performed using 500 various kinds of landscape images, and the good reference result whose reproduction rate is 90% was obtained. And the simulation shows that similar image reference was possible also in different picture resolution.
Journal
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- ITE Technical Report
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ITE Technical Report 26.22 (0), 1-6, 2002
The Institute of Image Information and Television Engineers
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Keywords
Details 詳細情報について
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- CRID
- 1390001204527129088
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- NII Article ID
- 110003671312
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- NII Book ID
- AN1059086X
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- ISSN
- 24241970
- 13426893
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- NDL BIB ID
- 6133288
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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