Content-based image retrieval using wavelet-based feature extraction method

被引：0
|
作者：
Sun, YQ [1 ]
Ozawa, S [1 ]
机构：
[1] Keio Univ, Ctr Informat Commun & Media Technol, Sch Sci Open & Environm Syst, Kohoku Ku, Yokohama, Kanagawa 2238522, Japan
来源：
CISST'03: PROCEEDING OF THE INTERNATIONAL CONFERENCE ON IMAGING SCIENCE, SYSTEMS AND TECHNOLOGY, VOLS 1 AND 2 | 2003年
关键词：
content-based image retrieval; image compression in SPIHT; salient points;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper proposes a new image index and retrieval algorithm conducted in SPIHT compression wavelet domain, where image features are extracted from the modified lowest frequency subbands. Hybrid low level image features including color and texture are applied in this paper. Sharp parts or edges or the image are kept in color feature description by combining selected wavelet salient points. The resulting indexing technology is proven to improve retrieval results in terms or retrieval accuracy, computational cost and storage space or feature vectors in general image library.
引用
收藏
页码：134 / 138
页数：5
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