Flow coherence diffusion. linear and nonlinear case

  • Authors:
  • Terebes Romulus;Olivier Lavialle;Monica Borda;Pierre Baylou

  • Affiliations:
  • Technical University of Cluj-Napoca, Cluj-Napoca, Romania;UMR 5131 ENSEIRB-ENITA-Université Bordeaux 1, Talence, France;Technical University of Cluj-Napoca, Cluj-Napoca, Romania;UMR 5131 ENSEIRB-ENITA-Université Bordeaux 1, Talence, France

  • Venue:
  • ACIVS'05 Proceedings of the 7th international conference on Advanced Concepts for Intelligent Vision Systems
  • Year:
  • 2005

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Abstract

The paper proposes a novel tensor based diffusion filter, dedicated for filtering images composed of line like structures. We propose a linear version of nonlinear diffusion partial derivative equation, previously presented in [5]. Instead of considering nonlinearity in the image evolution process we are only including it at the computation of the diffusion tensor. The unique tensor construction is based on an adaptive orientation estimation step and yields a significant reduction of the computational complexity. The properties of the filter are analyzed both theoretically and experimentally.