Color and texture image retrieval using chromaticity histograms and wavelet frames
Inhaltsverzeichnis
Referenz
S. Liapis and G. Tziritas: Color and texture image retrieval using chromaticity histograms and wavelet frames. IEEE Trans. Multimedia, vol. 6, no. 5, pp. 676-686, 2004
DOI
http://dx.doi.org/10.1109/TMM.2004.834858
Abstract
In this paper, we explore image retrieval mechanisms based on a combination of texture and color features. Texture features are extracted using Discrete Wavelet Frames (DWF) analysis, an over-complete decomposition in scale and orientation. Two-dimensional (2-D) or one-dimensional (1-D) histograms of the CIE Lab chromaticity coordinates are used as color features. The 1-D histograms of the a, b coordinates were modeled according to the generalized Gaussian distribution. The similarity measure defined on the feature distribution is based on the Bhattacharya distance. Retrieval benchmarking is performed over the Brodatz album and on images from natural scenes, obtained from the VisTex database of MIT Media Laboratory and from the Corel Photo Gallery. As a performance indicator recall (relative number of correct images retrieved) is measured on both texture and color separately and in combination. Experiments show this approach to be as effective as other methods while computationally more tractable.
Extended Abstract
Bibtex
@ARTICLE{1335475,
author={S. Liapis and G. Tziritas},
journal={IEEE Transactions on Multimedia},
title={Color and texture image retrieval using chromaticity histograms and wavelet frames},
year={2004},
volume={6},
number={5},
pages={676-686},
keywords={Gaussian distribution;discrete wavelet transforms;feature extraction;image colour analysis;image retrieval;image texture;natural scenes;visual databases;Bhattacharya distance;Brodatz album;CIE Lab chromaticity histogram;Corel Photo Gallery;Gaussian distribution;MIT Media Laboratory;VisTex database;color image similarity;discrete wavelet frame analysis;image retrieval;natural scenes;texture feature extraction;Discrete wavelet transforms;Feature extraction;Gaussian distribution;Histograms;Image retrieval;Image texture analysis;Information retrieval;Layout;Two dimensional displays;Wavelet analysis;Bhattacharya distance;color image similarity;discrete wavelet frames;texture retrieval},
doi={10.1109/TMM.2004.834858},
url={http://dx.doi.org/10.1109/TMM.2004.834858 http://de.evo-art.org/index.php?title=Color_and_texture_image_retrieval_using_chromaticity_histograms_and_wavelet_frames },
ISSN={1520-9210},
month={Oct},
}
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Links
Full Text
http://www.csd.uoc.gr/~tziritas/papers/class_ct.pdf
