@techreport{TR-IC-08-02,
  number = {IC-08-02},
  author = {Fábio A. M. Cappabianco and
            Leonardo M. Rocha and
            Alexandre X. Falcão},
  title = {Clustering By Optimum Path Forest and its Application to
           Automatic {GM/WM} Classification in {MR-T1} Images of the Brain},
  month = {January},
  year = {2008}, 
  institution = {Institute of Computing, University of Campinas},
  note = {In English, 08 pages.
    \par\selectlanguage{english}\textbf{Abstract}
      A new approach to identify clusters as trees of an optimum-path
      forest has been presented. We are extending the method for large
      datasets with application to automatic GM/WM classification in MR-T1
      images of the brain. The method is computed for a few randomly
      selected voxels, such that GM and WM define two optimum-path
      trees. The remaining voxels are classified incrementally, by
      identifying which tree would contain each voxel if it were part of
      the forest. Our method produces accurate results on phantom and real
      images, similarly to those obtained by the state-of-the-art, does
      not rely on templates, and takes less than 1.5 minute on modern PCs.
  }
}