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ICIP
2004
IEEE

Symmetry feature in content-based image retrieval

14 years 5 months ago
Symmetry feature in content-based image retrieval
In this paper, we first apply the theory of wallpaper groups to natural images and extract a novel feature to depict the symmetry property of natural images. The original proposed algorithm takes autocorrelation and correlation as a preprocessing step, which is very timeconsuming. Through further analysis, we develop a set of schemes to accelerate this algorithm. Experimental results demonstrate that in performing content-based image retrieval, the proposed symmetry feature outperforms wavelet feature, which is a widely accepted descriptor of texture, and water-filling feature. The accelerated version of the algorithm improves the processing speed by a large margin while it brings little degradation to retrieval performance.
Jingrui He, Mingjing Li, HongJiang Zhang, Changshu
Added 24 Oct 2009
Updated 27 Oct 2009
Type Conference
Year 2004
Where ICIP
Authors Jingrui He, Mingjing Li, HongJiang Zhang, Changshui Zhang
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