Variational Level-Set Reconstruction of Accretionary Morphogenesis from Images

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.

• Type: Conference
• Year: 2006
• Where: ICIP
• Authors: Abdessalam Benzinou, Anatole Chessel, Frédéric Cao, Ronan Fablet, Sylvain Pujolle
• Keywords: Accretionary Growth Shapes, Data-driven Term, Growth Orientation Field, Growth Structures, ICIP 2006, Image Processing, Regularization Term