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On real time active contours

Published: 15 April 2010 Publication History

Abstract

Active contours represent a widely used segmentation technique. Classical developments often involve great algorithmic complexity, inconveniences with local minima and low convergence to boundary concavities. This paper describes an approach based on a Coarse-to-Fine Normal Neighborhoods strategy (CoFiN2) which leads to lower computational costs, being robust to local minima, and encourages convergence to boundary concavities. This approach is compared with classical methods and is applied on Magnetic Resonance Imaging (MRI) in a real time application.

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cover image ACM Conferences
ACMSE '10: Proceedings of the 48th annual ACM Southeast Conference
April 2010
488 pages
ISBN:9781450300643
DOI:10.1145/1900008
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 15 April 2010

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Author Tags

  1. active contours
  2. imaging
  3. segmentation

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ACM SE '10
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ACM SE '10: ACM Southeast Regional Conference
April 15 - 17, 2010
Mississippi, Oxford

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ACMSE '10 Paper Acceptance Rate 48 of 94 submissions, 51%;
Overall Acceptance Rate 502 of 1,023 submissions, 49%

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