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PCM
2004
Springer

Automatic Peak Number Detection in Image Symmetry Analysis

9 years 7 months ago
Automatic Peak Number Detection in Image Symmetry Analysis
Abstract. In repeated pattern analysis, peak number detection in autocorrelation is of key importance, which subsequently determines the correctness of the constructed lattice. Previous work inevitably needs users to select peak number manually, which limits its generalization to applications in large image database. The main contribution of this paper is to propose an optimization-based approach for automatic peak number detection, i.e., we first formulate it as an optimization problem by a straightforward yet effective criterion function, and then resort to Simulated Annealing to optimize it. Based on this approach, we design a new feature to depict image symmetry property which can be automatically extracted for repeated pattern retrieval. Experimental results demonstrate the effectiveness of the optimization approach and the superiority of symmetry feature over wavelet feature in discriminating similar repeated patterns.
Jingrui He, Mingjing Li, HongJiang Zhang, Hanghang
Added 02 Jul 2010
Updated 02 Jul 2010
Type Conference
Year 2004
Where PCM
Authors Jingrui He, Mingjing Li, HongJiang Zhang, Hanghang Tong, Changshui Zhang
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