Rotation-invariant texture retrieval by combining log-polar and nonsubsampled contourlet features

Xianqiang Zhu; Zhenfeng Shao

doi:10.1117/12.866653

20 August 2010 Rotation-invariant texture retrieval by combining log-polar and nonsubsampled contourlet features

Xianqiang Zhu, Zhenfeng Shao

Proceedings Volume 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering; 78202Y (2010) https://doi.org/10.1117/12.866653
Event: International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 2010, Xi'an, China

Abstract

This paper analyzes the spectrum influence between Radon transform and Log-polar transform when rotation effect is eliminated. The average retrieval performance of wavelet and NSCT with different retrieval parameters is also studied. Based on which, the authors design a multi-scale and multi-orientation texture transform spectrum, as well as rotationinvariant feature vector and its measurement criteria. Then a new two-level rotation-invariant texture retrieval algorithm based on no-parameter statistic features is proposed. Experiments on Brodatz image database show that the algorithm proposed in this paper is appropriate for main orientation capturing and detail information description. Besides, the combination of this two-level progressive retrieval strategy and multi-scale analysis method can effectively improve retrieval efficiency compared with traditional algorithms and ensure a high precision as well.

Citation Download Citation

Xianqiang Zhu and Zhenfeng Shao "Rotation-invariant texture retrieval by combining log-polar and nonsubsampled contourlet features", Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 78202Y (20 August 2010); https://doi.org/10.1117/12.866653

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KEYWORDS

Image retrieval

Feature extraction

Image filtering

Radon transform

Wavelets

Databases

Distance measurement

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