Semi-supervised statistical region refinement for color image segmentation

  • Authors:
  • Richard Nock;Frank Nielsen

  • Affiliations:
  • GRIMAAG-Département Scientifique Interfacultaire, Université des Antilles-Guyane, Campus de Schoelcher, BP 7209, 97275 Schoelcher, Martinique, France;Sony Computer Science Laboratories, Inc., 3-14-13 Higashi Gotanda, Shinagawa-Ku, Tokyo 141-0022, Japan

  • Venue:
  • Pattern Recognition
  • Year:
  • 2005

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Abstract

Some authors have recently devised adaptations of spectral grouping algorithms to integrate prior knowledge, as constrained eigenvalues problems. In this paper, we improve and adapt a recent statistical region merging approach to this task, as a non-parametric mixture model estimation problem. The approach appears to be attractive both for its theoretical benefits and its experimental results, as slight bias brings dramatic improvements over unbiased approaches on challenging digital pictures.