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Optical Engineering

Texture description based on multiresolution moments of image histograms
Author(s): Yue Jiang; Runsheng Wang; Peng Zhang
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Paper Abstract

This paper presents a novel multiresolution approach for texture classification based on the moment features, which are extracted in the x direction and y direction, of a histogram in each image resolution. Then we propose a weighted multiresolution moment feature for supervised texture classification. Moreover, because of their capability of expressing image information using moment methods, these features achieved better performance on rotation invariance and noise robustness than most of popular texture features presented in recent years.

Paper Details

Date Published: 1 March 2008
PDF: 7 pages
Opt. Eng. 47(3) 037005 doi: 10.1117/1.2894149
Published in: Optical Engineering Volume 47, Issue 3
Show Author Affiliations
Yue Jiang, National Univ. of Defense Technology (China)
Runsheng Wang, National Univ. of Defense Technology (China)
Peng Zhang, National Univ. of Defense Technology (China)

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