Segmentation of medical images using an active contour model incorporating region-based image features

Colin S. Poon; Michael Braun; Rebecca Fahrig; Athula Ginige; Andrew Dorrell

doi:10.1117/12.185238

Segmentation of medical images using an active contour model incorporating region-based image features

Colin S. Poon, Michael Braun, Rebecca Fahrig, Athula Ginige, Andrew Dorrell

University of Technology Sydney

Research output: Contribution to journal › Conference article › peer-review

21 Citations (Scopus)

Abstract

An improved segmentation algorithm based on the active contour model^1-4 is developed. A distinguishing element of our algorithm is the incorporation of region-based image features which improves significantly the reliability of the algorithm, and allows multi-region segmentation of an image. We use simulated annealing in the energy minimization in order to locate the globally optimal solution and enhance flexibility in the construction of energy functional.

Original language	English
Pages (from-to)	90-97
Number of pages	8
Journal	Proceedings of SPIE: The International Society for Optical Engineering
Volume	2359
DOIs	https://doi.org/10.1117/12.185238
Publication status	Published - 9 Sept 1994
Externally published	Yes
Event	Visualization in Biomedical Computing 1994 - Rochester, United States Duration: 4 Oct 1994 → 7 Oct 1994

Bibliographical note

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© 1994 SPIE. All rights reserved.

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10.1117/12.185238

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abstract = "An improved segmentation algorithm based on the active contour model1-4 is developed. A distinguishing element of our algorithm is the incorporation of region-based image features which improves significantly the reliability of the algorithm, and allows multi-region segmentation of an image. We use simulated annealing in the energy minimization in order to locate the globally optimal solution and enhance flexibility in the construction of energy functional.",

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AU - Fahrig, Rebecca

AU - Ginige, Athula

AU - Dorrell, Andrew

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AB - An improved segmentation algorithm based on the active contour model1-4 is developed. A distinguishing element of our algorithm is the incorporation of region-based image features which improves significantly the reliability of the algorithm, and allows multi-region segmentation of an image. We use simulated annealing in the energy minimization in order to locate the globally optimal solution and enhance flexibility in the construction of energy functional.

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M3 - Conference article

AN - SCOPUS:85076765340

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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 - Visualization in Biomedical Computing 1994

Y2 - 4 October 1994 through 7 October 1994

ER -

Segmentation of medical images using an active contour model incorporating region-based image features

Abstract

Bibliographical note

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