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Communication Dans Un Congrès Année : 2006

Variational level-set reconstruction of accretionary morphogenesis from images.

Résumé

This paper copes with the reconstruction of accretionary morphogenesis within a given observation plane from an image depicting successive (typically seasonal or daily) growth structures. Modeling accretionary growth shapes as the level-sets of a potential function, a variational framework is derived from geometric criteria. It resorts to minimizing an energy functional involving two terms: a regularization term and a data-driven term which constrain the evolution of the shapes with respect to a growth orientation field. Experiments carried out on real data (e.g., fish otoliths) validate the proposed approach, which opens new research directions for information extraction and decoding from biological archives.
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Dates et versions

hal-02344289 , version 1 (04-11-2019)

Identifiants

Citer

Ronan Fablet, Sylvain Pujolle, Anatole Chessel, Abdesslam Benzinou, Frédéric Cao. Variational level-set reconstruction of accretionary morphogenesis from images.. ICIP 2006 : 13th IEEE International conference on Image Processing, Oct 2006, Atlanta, United States. pp.221 - 224, ⟨10.1109/ICIP.2006.312465⟩. ⟨hal-02344289⟩
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