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
Link To Document :
بازگشت