Design and analysis of an information theoretic algorithm for vector field segmentation

Ian B. Kerfoot, Yoram Bresler

Research output: Contribution to journalConference articlepeer-review

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. Massively parallel optimization algorithms are presented. 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.

Original languageEnglish (US)
Pages (from-to)92-103
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume1904
DOIs
StatePublished - Jun 10 1993
EventImage Modeling 1993 - San Jose, United States
Duration: Jan 31 1993Feb 5 1993

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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