articleIEEE Transactions on Image ProcessingSep 30, 2008GREEN OA

Localizing Region-Based Active Contours

Georgia Institute of Technology · Technion – Israel Institute of Technology

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Abstract

In this paper, we propose a natural framework that allows any region-based segmentation energy to be re-formulated in a local way. We consider local rather than global image statistics and evolve a contour based on local information. Localized contours are capable of segmenting objects with heterogeneous feature profiles that would be difficult to capture correctly using a standard global method. The presented technique is versatile enough to be used with any global region-based active contour energy and instill in it the benefits of localization. We describe this framework and demonstrate the localization of three well-known energies in order to illustrate how our framework can be applied to any energy. We…

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1,136
total citations
FWCI
46.13
Percentile
100%
References
39
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Authors

2

Topics & keywords

Keywords
  • Active contour model
  • Artificial intelligence
  • Computer science
  • Image segmentation
  • Segmentation
  • Energy (signal processing)
  • Feature (linguistics)
  • Computer vision
UN Sustainable Development Goals
  • Affordable and clean energy
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