DocumentCode :
33653
Title :
Wavelet Domain Multifractal Analysis for Static and Dynamic Texture Classification
Author :
Hui Ji ; Xiong Yang ; Haibin Ling ; Yong Xu
Author_Institution :
Dept. of Math., Nat. Univ. of Singapore, Singapore, Singapore
Volume :
22
Issue :
1
fYear :
2013
fDate :
Jan. 2013
Firstpage :
286
Lastpage :
299
Abstract :
In this paper, we propose a new texture descriptor for both static and dynamic textures. The new descriptor is built on the wavelet-based spatial-frequency analysis of two complementary wavelet pyramids: standard multiscale and wavelet leader. These wavelet pyramids essentially capture the local texture responses in multiple high-pass channels in a multiscale and multiorientation fashion, in which there exists a strong power-law relationship for natural images. Such a power-law relationship is characterized by the so-called multifractal analysis. In addition, two more techniques, scale normalization and multiorientation image averaging, are introduced to further improve the robustness of the proposed descriptor. Combining these techniques, the proposed descriptor enjoys both high discriminative power and robustness against many environmental changes. We apply the descriptor for classifying both static and dynamic textures. Our method has demonstrated excellent performance in comparison with the state-of-the-art approaches in several public benchmark datasets.
Keywords :
fractals; image classification; image texture; natural scenes; wavelet transforms; complementary wavelet pyramids; discriminative power; dynamic texture classification; environmental changes; high-pass channels; multiorientation fashion; multiorientation image averaging; multiscale fashion; natural images; power-law relationship; public benchmark datasets; robustness; scale normalization; standard multiscale; static texture classification; texture descriptor; texture responses; wavelet domain multifractal analysis; wavelet leader; wavelet-based spatial-frequency analysis; Detectors; Fractals; Robustness; Wavelet analysis; Wavelet domain; Wavelet transforms; Dynamic texture; multifractal analysis; texture; wavelet; wavelet leader; Databases, Factual; Fractals; Image Processing, Computer-Assisted; Pattern Recognition, Automated; Wavelet Analysis;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/TIP.2012.2214040
Filename :
6272357
Link To Document :
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