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Journal of Electronic Imaging

Fractal descriptors based on quaternion Fourier transform for color texture analysis
Author(s): Feng Zhu; Meifeng Dai; Conghua Xie; Yuqing Song; Limin Luo
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Paper Abstract

Texture and color are important features in analyzing images of natural scenes. Fractal descriptors based on quaternion Fourier transform and local polynomial regression are proposed for color texture image analysis. First, considering the relation between the power spectrum and frequency in the quaternion Fourier transform domain, we proposed fractal dimensions of a color image using a fast quaternion Fourier transform. Second, local polynomial regression is applied to estimate log(spectrum)–log(frequency) curve, which is not usually linear in a natural texture image. Finally, a local polynomial regression curve is defined as fractal descriptors for the color image classification problem with multiclasses. The experimental results show that our proposed approach is more effective than other color texture analysis methods both in the correct classification rate and the duration.

Paper Details

Date Published: 27 July 2015
PDF: 8 pages
J. Electron. Imaging. 24(4) 043004 doi: 10.1117/1.JEI.24.4.043004
Published in: Journal of Electronic Imaging Volume 24, Issue 4
Show Author Affiliations
Feng Zhu, Southeast Univ. (China)
Jiangsu Univ. (China)
Meifeng Dai, Jiangsu Univ. (China)
Conghua Xie, Changshu Institute of Technology (China)
Yuqing Song, Jiangsu Univ. (China)
Limin Luo, Southeast Univ. (China)


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