DocumentCode :
501263
Title :
Research of Image Retrieval Based on Uniting Features
Author :
Jinguang, Sun ; Zhipeng, Wang ; Da, Yin
Author_Institution :
Sch. of Economic Inf. Eng., Liaoning Tech. Univ., Huludao, China
Volume :
2
fYear :
2009
fDate :
15-17 May 2009
Firstpage :
603
Lastpage :
607
Abstract :
Research the current content-based image retrieval technology. In order to improve the limitations of single feature image retrieval and the computational complexity of integrated features image retrieval is so complexity, so it brings up a new method based on uniting features. The mainly theory is that combines Tamura texture feature with wavelet transform texture analysis of resist geometric distortions to extract 13-componet texture features; after the Daubechies3 wavelet transform, and extracts the color histogram and 7 shaped invariant moments at the low-frequency region; then implement a system of uniting features image retrieval. The Experiments show that it has better search results with no apparent increasing amount of calculation than the feature of a single or other integrated feature to retrieval.
Keywords :
content-based retrieval; image colour analysis; image retrieval; image texture; wavelet transforms; Daubechies3 wavelet transform; Tamura texture feature; color histogram; computational complexity; content-based image retrieval technology; geometric distortions; single feature image retrieval; uniting features image retrieval; wavelet transform texture analysis; Computational complexity; Content based retrieval; Feature extraction; Image analysis; Image color analysis; Image retrieval; Image texture analysis; Resists; Wavelet analysis; Wavelet transforms; color histogram; image retrieval; invariant moments; wavelet transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology and Applications, 2009. IFITA '09. International Forum on
Conference_Location :
Chengdu
Print_ISBN :
978-0-7695-3600-2
Type :
conf
DOI :
10.1109/IFITA.2009.318
Filename :
5231422
Link To Document :
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