NDLI: Wavelet-based color texture retrieval using the independent component color space

Content Provider	IEEE Xplore Digital Library
Author	Ye Mei Androutsos, D.
Copyright Year	2008
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Ryerson Univ., Toronto, ON (Ye Mei; Androutsos, D.)
Abstract	In this paper, we propose a wavelet based color texture retrieval method using the independent component color space. In color texture retrieval, the product of low dimensional marginal distributions of wavelet coefficients from different color layers are preferred to substitute or approximate their high dimensional joint distributions in order to avoid the curse of dimensionality. However, the RGB color spaces is a highly correlated color space and the extracted wavelet coefficients from different layers are also correlated, which means such a substitution or approximation will not be adequate. To solve the problem, we use independent component analysis to decor- relate the R, G and B layers into three new independent layers before applying wavelet decomposition on the color texture images. In the feature extraction (FE) step of the proposed method, generalized Gaussian density (GGD) are used to model the marginal distribution of wavelet coefficients, and the extracted model parameters are used as features. In the similarity measurement (SM) step of the proposed method, the Kullback-Leibler distance(KLD) is calculated as feature distance, using the extracted model parameters of the query texture images and those of the images in the database. Experimental results on a database of 1120 color texture images indicate that the proposed method greatly overperforms its RGB based counterpart that ignores the inter-layer correlation, and its counterpart which uses the I1I2I3 colorspace.
Starting Page	165
Ending Page	168
File Size	371393
Page Count	4
File Format	PDF
ISBN	9781424417650
ISSN	15224880
DOI	10.1109/ICIP.2008.4711717
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hidden Markov models Image retrieval Image color analysis Wavelet coefficients Independent component analysis Wavelet analysis Image databases Spatial databases Pixel Content based retrieval Kullback-Leibler distance(KLD) color texture Independent Component Analysis (ICA) wavelet generalized Gaussian density (GGD)
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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