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Journal of Applied Sciences
  Year: 2007 | Volume: 7 | Issue: 12 | Page No.: 1566-1573
DOI: 10.3923/jas.2007.1566.1573
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Texture Characterisation and Classification Using Full Wavelet Decomposition

G. Loum, C. Theodore Haba, J. Lemoine and P. Provent

This study deals with two multichannel texture characterisation procedures based on the Full Wavelet Decomposition (FWD) which is achieved by using the standard wavelet transform or the wavelet frame transform. Here, for a given position, the order of each channel output of the decomposition is determined by sorting out in descending order all the wavelet coefficients located at that position. The occurrences of channel orders over a given window describe the local texture information and are either represented in a Channel Order Matrix (COM), or used to construct a Frequency Channel Spectrum (FCS). Then texture features, extracted from COM or FCS, are incorporated into a simple texture classification algorithm and some experimental results are presented.
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How to cite this article:

G. Loum, C. Theodore Haba, J. Lemoine and P. Provent, 2007. Texture Characterisation and Classification Using Full Wavelet Decomposition. Journal of Applied Sciences, 7: 1566-1573.

DOI: 10.3923/jas.2007.1566.1573






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