This archive contains Matlab code for texture analysis using steerable wavelet machines (SWM) and more.

One of the three demo scripts demoSWMTextureAnalysis2D.m, demoSWMTextureLearning2D.m or demoSWMTextureSegmentation2D.m can be used as an entry point in the code. 

Copyright (c) 2017, A. Depeursinge, Z. Puspoki, J.P. Ward, M. Unser.
All rights reserved.

It is based on the 2D steerable wavelet library from the Biomedical Imaging Group, Ecole Polytechnique Federale de Lausanne (EPFL),
authored by Zs. Puspoki (zsuzsanna.puspoki@epfl.ch) and N. Chenouard (Nicolas.Chenouard@nyumc.org)
http://bigwww.epfl.ch/demo/circular-wavelets/

The following papers should always be referenced when using the code:

[1] A. Depeursinge, Z. Puspoki, J.P. Ward, M. Unser,
      "Steerable Wavelet Machines (SWM): Learning Moving Frames for
      Texture Classification", in press.

[2] M. Unser and N. Chenouard, "A Unifying Parametric Framework for 2D Steerable
      Wavelet Transforms", SIAM J. Imaging Sci., vol. 6., pp 102-135, 2013

Redistribution and use in source and binary forms, with or without 
modification, are permitted provided that the following conditions are 
met:

    * Redistributions of source code must retain the above copyright 
      notice, this list of conditions and the following disclaimer.
    * Redistributions in binary form must reproduce the above copyright 
      notice, this list of conditions and the following disclaimer in 
      the documentation and/or other materials provided with the distribution
      
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