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.

• Type: Conference
• Year: 2004
• Where: ICIP
• Authors: Jingrui He, Mingjing Li, HongJiang Zhang, Changshui Zhang
• Keywords: Algorithm Takes Autocorrelation, Content-based Image Retrieval, Feature Outperforms Wavelet, ICIP 2004, Image Processing, Symmetry Property, Water-filling Feature