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Proceedings Paper

Design and analysis of an information theoretic algorithm for vector-field segmentation
Author(s): Ian B. Kerfoot; Yoram Bresler
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Paper 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.

Paper Details

Date Published: 10 June 1993
PDF: 12 pages
Proc. SPIE 1904, Image Modeling, (10 June 1993); doi: 10.1117/12.146682
Show Author Affiliations
Ian B. Kerfoot, Univ. of Illinois/Urbana-Champaign (United States)
Yoram Bresler, Univ. of Illinois/Urbana-Champaign (United States)

Published in SPIE Proceedings Vol. 1904:
Image Modeling
Lawrence A. Ray; James R. Sullivan, Editor(s)

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