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Wasserstein Active Contours

Rabin, Julien; Fadili, Jalal; Peyré, Gabriel (2012), Wasserstein Active Contours, 19th IEEE International Conference on Image Processing (ICIP), 2012 - proceedings, IEEE, p. 2541-2544

Type
Communication / Conférence
External document link
http://hal.archives-ouvertes.fr/hal-00593424/fr/
Date
2012
Conference title
2012 IEEE International Conference on Image Processing (ICIP)
Conference date
2012-10
Conference city
Orlando
Conference country
Etats-Unis
Book title
19th IEEE International Conference on Image Processing (ICIP), 2012 - proceedings
Publisher
IEEE
ISBN
978-1-4673-2534-9
Pages
2541-2544
Publication identifier
http://dx.doi.org/10.1109/ICIP.2012.6467416
Metadata
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Author(s)
Rabin, Julien cc
Fadili, Jalal
Peyré, Gabriel
Abstract (EN)
In this paper, we propose a novel and rigorous framework for region-based active contours that combines the Wasserstein distance between statistical distributions in arbitrary dimension and shape derivative tools. To speed-up the computation and be able to handle high-dimensional features and large-scale data, we introduce an approximation of the differential of the Wasserstein distance between histograms. The framework is flexible enough to allow either minimization of the Wasserstein distance to prior distributions, or maximization of the distance between the distributions of the regions to be segmented (i.e. region competition). Numerical results reported demonstrate the advantages of the proposed optimal transport distance with respect to point-wise metrics.
Subjects / Keywords
optimal transport; active contours; Wasserstein distance; Image segmentation

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