@inproceedings{89d5adb512304668aab6f36ac741637a,
title = "Variational level-set reconstruction of accretionary morphogenesis from images",
abstract = "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.",
keywords = "Accretionary morphogenesis, Level-set, Shape matching, Variational problem",
author = "R. Fablet and S. Pujolle and A. Chessel and A. Benzinou and E. Cao",
year = "2006",
month = dec,
day = "1",
doi = "10.1109/ICIP.2006.312465",
language = "English",
isbn = "1424404819",
series = "Proceedings - International Conference on Image Processing, ICIP",
pages = "221--224",
booktitle = "2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings",
note = "2006 IEEE International Conference on Image Processing, ICIP 2006 ; Conference date: 08-10-2006 Through 11-10-2006",
}