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1 March 2008 Texture description based on multiresolution moments of image histograms
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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.
© (2008) Society of Photo-Optical Instrumentation Engineers (SPIE)
Yue Jiang, Runsheng Wang, and Peng Zhang "Texture description based on multiresolution moments of image histograms," Optical Engineering 47(3), 037005 (1 March 2008). https://doi.org/10.1117/1.2894149
Published: 1 March 2008
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