Design and theoretical analysis of a vector field segmentation algorithm

  • Authors:

  • Ian B. Kerfoot;Yoram Bresler

  • Affiliations:

  • Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL;Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL

  • Venue:
  • ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: image and multidimensional signal processing - Volume V
  • Year:
  • 1993

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Abstract

We present several objective functions for vector field segmentation. Leclerc's MRF model is extended by the addition of information-theoretic penalties for regions and distinct means. Standard methods of signal detection and estimation are used to develop a theoretical performance analysis, which quantitatively predicts the performance at realistic noise levels. Theoretical and experimental results agree fairly well.