Symmetry feature in content-based image retrieval

Jingrui He, Mingjing Li, Hong Jiang Zhang, Changshui Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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 time-consuming. 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.

Original languageEnglish (US)
Title of host publication2004 International Conference on Image Processing, ICIP 2004
Number of pages4
StatePublished - 2004
Externally publishedYes
Event2004 International Conference on Image Processing, ICIP 2004 - , Singapore
Duration: Oct 24 2004Oct 27 2004

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880


Other2004 International Conference on Image Processing, ICIP 2004

ASJC Scopus subject areas

  • General Engineering


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