Local anisotropy analysis for non-smooth images

  • Authors:
  • Sandra Bergonnier;François Hild;Stéphane Roux

  • Affiliations:
  • LMT-Cachan, ENS de Cachan, CNRS-UMR 8535, Université Paris 6, 61 avenue du Président Wilson, F-94235 Cachan Cedex, France and Laboratoire "Surface du Verre et Interfaces", UMR CNRS/Saint ...;LMT-Cachan, ENS de Cachan, CNRS-UMR 8535, Université Paris 6, 61 avenue du Président Wilson, F-94235 Cachan Cedex, France;Laboratoire "Surface du Verre et Interfaces", UMR CNRS/Saint-Gobain 125, 39 quai Lucien Lefranc, 93303 Aubervilliers Cedex, France

  • Venue:
  • Pattern Recognition
  • Year:
  • 2007

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Abstract

Identification of local anisotropy and determination of principal axes are addressed through different methods that are designed to be tolerant to the non-smooth character of images on the pixel scale. These different tools are validated on various examples, and their performances are compared. The most powerful, robust and accurate method consists in computing the curvature tensor of the auto-correlation function of regularized images using fast Fourier transforms.