DocumentCode
1855435
Title
Color textured image retrieval by combining texture and color features
Author
Bai, Cong ; Kpalma, Kidiyo ; Ronsin, Joseph
Author_Institution
IETR, Univ. Eur. de Bretagne, Rennes, France
fYear
2012
fDate
27-31 Aug. 2012
Firstpage
170
Lastpage
174
Abstract
A new approach for color textured image retrieval based on the combination of color and texture features is proposed. The features are extracted in DCT domain. For texture featuring, Texture-Pattern is proposed to be constructed by using three groups of AC coefficients of each DCT block from the luminance component. And for color featuring, LumaColor-Pattern is constructed by using the DC coefficients from the luminance and chroma components. The histograms of dominant components of these two patterns are constructed and their combination is used for image retrieval. Experimental results on VisTex database have shown that the proposed method yields higher performance than referred approaches which are reported in recently published literature.
Keywords
brightness; content-based retrieval; discrete cosine transforms; feature extraction; image colour analysis; image texture; visual databases; AC coefficients; DC coefficients; DCT block; DCT domain; LumaColor pattern; VisTex database; chroma components; color feature extraction; color featuring; color textured image retrieval; luminance component; luminance components; texture pattern; Discrete cosine transforms; Feature extraction; Histograms; Image color analysis; Image retrieval; Proposals; Content-based image retrieval; DCT; color; texture;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European
Conference_Location
Bucharest
ISSN
2219-5491
Print_ISBN
978-1-4673-1068-0
Type
conf
Filename
6334212
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