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

Ian B. Kerfoot; Yoram Bresler

doi:10.1117/12.146682

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

Research output: Contribution to journal › Conference article › peer-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 language	English (US)
Pages (from-to)	92-103
Number of pages	12
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	1904
DOIs	https://doi.org/10.1117/12.146682
State	Published - Jun 10 1993
Event	Image Modeling 1993 - San Jose, United States Duration: Jan 31 1993 → Feb 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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10.1117/12.146682

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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. 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.",

author = "Kerfoot, {Ian B.} and Yoram Bresler",

note = "Funding Information: This research was supported in part by the Whitaker Foundation and in part by the National Science Foundation Pyl grant No. MIP 9157377. Publisher Copyright: {\textcopyright} 1993 SPIE. All rights reserved.; Image Modeling 1993 ; Conference date: 31-01-1993 Through 05-02-1993",

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AU - Bresler, Yoram

N1 - Funding Information: This research was supported in part by the Whitaker Foundation and in part by the National Science Foundation Pyl grant No. MIP 9157377. Publisher Copyright: © 1993 SPIE. All rights reserved.

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Y1 - 1993/6/10

N2 - 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.

AB - 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.

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JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

T2 - Image Modeling 1993

Y2 - 31 January 1993 through 5 February 1993

ER -

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

Abstract

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