• Computing Negentropy Based Signatures for Texture Recognition 

      Lungu, Ana-Elena; Colţuc, Daniela; Frângu, Laurenţiu (2007)
      The proposed method aims to provide a new tool for texture recognition. For this purpose, a set of texture samples are decomposed by using the FastICA algorithm and characterized by a negentropy based signature. In order ...
    • An ICA Based Method for Texture Recognition 

      Colţuc, Daniela; Fournel, Thierry; Becker, Jean-Marie; Boutant, Yann ("Dunarea de Jos" University of Galati, 2006)
      The method proposed in this paper uses the Independent Component Analysis (ICA) for an application of unsupervised recognition of textures. The analysed texture is modelled by a weighted sum of almost statistically independent ...