3-D zebrafish embryo image filtering by nonlinear partial differential equations.

Barbara Rizzi (1) , Matteo Campana (1) , Cecilia Zanella (1) , Camilo Melani (1) , Robert Cunderlik (1) , Zuzana Krivá (1) , Paul Bourgine , Karol Mikula (1) , Nadine Peyriéras (2, 3) , Alessandro Sarti (1)

1 DEIS - Dipartimento di Elettronica, Informatica e Sistemistica
2 DEPSN - Développement, évolution et plasticité du système nerveux
3 INAF - Institut de Neurobiologie Alfred Fessard

We discuss application of nonlinear PDE based methods to filtering of 3-D confocal images of embryogenesis. We focus on the mean curvature driven and the regularized Perona-Malik equations, where standard as well as newly suggested edge detectors are used. After presenting the related mathematical models, the practical results are given and discussed by visual inspection and quantitatively using the mean Hausdorff distance.

Domaines: Neurosciences [q-bio.NC]

Barbara Rizzi, Matteo Campana, Cecilia Zanella, Camilo Melani, Robert Cunderlik, et al.. 3-D zebrafish embryo image filtering by nonlinear partial differential equations.. Conference proceedings : .. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2007, 2007, pp.6252-5. ⟨10.1109/IEMBS.2007.4353784⟩. ⟨hal-00275362⟩